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feat: 增强 command-guide skill 支持深度命令分析和 CLI 辅助查询
新增 Mode 6: 深度命令分析 - 创建 reference 备份目录(80个文档:11 agents + 69 commands) - 支持简单查询(直接文件查找)和复杂查询(CLI 辅助分析) - 集成 gemini/qwen 进行跨命令对比、最佳实践、工作流分析 - 添加查询复杂度自动分类和降级策略 更新文档 - SKILL.md: 添加 Mode 6 说明和 Reference Documentation 章节 - implementation-details.md: 添加完整的 Mode 6 实现逻辑 - 版本更新至 v1.3.0 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
@@ -0,0 +1,477 @@
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---
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name: tech-research
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description: 3-phase orchestrator: extract tech stack from session/name → delegate to agent for Exa research and module generation → generate SKILL.md index (skips phase 2 if exists)
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argument-hint: "[session-id | tech-stack-name] [--regenerate] [--tool <gemini|qwen>]"
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allowed-tools: SlashCommand(*), TodoWrite(*), Bash(*), Read(*), Write(*), Task(*)
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---
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# Tech Stack Research SKILL Generator
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## Overview
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**Pure Orchestrator with Agent Delegation**: Prepares context paths and delegates ALL work to agent. Agent produces files directly.
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**Auto-Continue Workflow**: Runs fully autonomously once triggered. Each phase completes and automatically triggers the next phase.
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**Execution Paths**:
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- **Full Path**: All 3 phases (no existing SKILL OR `--regenerate` specified)
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- **Skip Path**: Phase 1 → Phase 3 (existing SKILL found AND no `--regenerate` flag)
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- **Phase 3 Always Executes**: SKILL index is always generated or updated
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**Agent Responsibility**:
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- Agent does ALL the work: context reading, Exa research, content synthesis, file writing
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- Orchestrator only provides context paths and waits for completion
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## Core Rules
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1. **Start Immediately**: First action is TodoWrite initialization, second action is Phase 1 execution
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2. **Context Path Delegation**: Pass session directory or tech stack name to agent, let agent do discovery
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3. **Agent Produces Files**: Agent directly writes all module files, orchestrator does NOT parse agent output
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4. **Auto-Continue**: After completing each phase, update TodoWrite and immediately execute next phase
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5. **No User Prompts**: Never ask user questions or wait for input between phases
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6. **Track Progress**: Update TodoWrite after EVERY phase completion before starting next phase
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7. **Lightweight Index**: Phase 3 only generates SKILL.md index by reading existing files
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---
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## 3-Phase Execution
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### Phase 1: Prepare Context Paths
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**Goal**: Detect input mode, prepare context paths for agent, check existing SKILL
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**Input Mode Detection**:
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```bash
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# Get input parameter
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input="$1"
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# Detect mode
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if [[ "$input" == WFS-* ]]; then
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MODE="session"
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SESSION_ID="$input"
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CONTEXT_PATH=".workflow/${SESSION_ID}"
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else
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MODE="direct"
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TECH_STACK_NAME="$input"
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CONTEXT_PATH="$input" # Pass tech stack name as context
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fi
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```
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**Check Existing SKILL**:
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```bash
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# For session mode, peek at session to get tech stack name
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if [[ "$MODE" == "session" ]]; then
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bash(test -f ".workflow/${SESSION_ID}/workflow-session.json")
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Read(.workflow/${SESSION_ID}/workflow-session.json)
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# Extract tech_stack_name (minimal extraction)
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fi
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# Normalize and check
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normalized_name=$(echo "$TECH_STACK_NAME" | tr '[:upper:]' '[:lower:]' | tr ' ' '-')
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bash(test -d ".claude/skills/${normalized_name}" && echo "exists" || echo "not_exists")
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bash(find ".claude/skills/${normalized_name}" -name "*.md" 2>/dev/null | wc -l || echo 0)
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```
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**Skip Decision**:
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```javascript
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if (existing_files > 0 && !regenerate_flag) {
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SKIP_GENERATION = true
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message = "Tech stack SKILL already exists, skipping Phase 2. Use --regenerate to force regeneration."
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} else if (regenerate_flag) {
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bash(rm -rf ".claude/skills/${normalized_name}")
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SKIP_GENERATION = false
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message = "Regenerating tech stack SKILL from scratch."
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} else {
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SKIP_GENERATION = false
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message = "No existing SKILL found, generating new tech stack documentation."
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}
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```
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**Output Variables**:
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- `MODE`: `session` or `direct`
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- `SESSION_ID`: Session ID (if session mode)
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- `CONTEXT_PATH`: Path to session directory OR tech stack name
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- `TECH_STACK_NAME`: Extracted or provided tech stack name
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- `SKIP_GENERATION`: Boolean - whether to skip Phase 2
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**TodoWrite**:
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- If skipping: Mark phase 1 completed, phase 2 completed, phase 3 in_progress
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- If not skipping: Mark phase 1 completed, phase 2 in_progress
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---
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### Phase 2: Agent Produces All Files
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**Skip Condition**: Skipped if `SKIP_GENERATION = true`
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**Goal**: Delegate EVERYTHING to agent - context reading, Exa research, content synthesis, and file writing
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**Agent Task Specification**:
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```
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Task(
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subagent_type: "general-purpose",
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description: "Generate tech stack SKILL: {CONTEXT_PATH}",
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prompt: "
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Generate a complete tech stack SKILL package with Exa research.
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**Context Provided**:
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- Mode: {MODE}
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- Context Path: {CONTEXT_PATH}
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**Templates Available**:
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- Module Format: ~/.claude/workflows/cli-templates/prompts/tech/tech-module-format.txt
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- SKILL Index: ~/.claude/workflows/cli-templates/prompts/tech/tech-skill-index.txt
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**Your Responsibilities**:
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1. **Extract Tech Stack Information**:
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IF MODE == 'session':
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- Read `.workflow/{SESSION_ID}/workflow-session.json`
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- Read `.workflow/{SESSION_ID}/.process/context-package.json`
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- Extract tech_stack: {language, frameworks, libraries}
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- Build tech stack name: \"{language}-{framework1}-{framework2}\"
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- Example: \"typescript-react-nextjs\"
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IF MODE == 'direct':
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- Tech stack name = CONTEXT_PATH
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- Parse composite: split by '-' delimiter
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- Example: \"typescript-react-nextjs\" → [\"typescript\", \"react\", \"nextjs\"]
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2. **Execute Exa Research** (4-6 parallel queries):
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Base Queries (always execute):
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- mcp__exa__get_code_context_exa(query: \"{tech} core principles best practices 2025\", tokensNum: 8000)
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- mcp__exa__get_code_context_exa(query: \"{tech} common patterns architecture examples\", tokensNum: 7000)
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- mcp__exa__web_search_exa(query: \"{tech} configuration setup tooling 2025\", numResults: 5)
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- mcp__exa__get_code_context_exa(query: \"{tech} testing strategies\", tokensNum: 5000)
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Component Queries (if composite):
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- For each additional component:
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mcp__exa__get_code_context_exa(query: \"{main_tech} {component} integration\", tokensNum: 5000)
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3. **Read Module Format Template**:
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Read template for structure guidance:
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```bash
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Read(~/.claude/workflows/cli-templates/prompts/tech/tech-module-format.txt)
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```
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4. **Synthesize Content into 6 Modules**:
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Follow template structure from tech-module-format.txt:
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- **principles.md** - Core concepts, philosophies (~3K tokens)
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- **patterns.md** - Implementation patterns with code examples (~5K tokens)
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- **practices.md** - Best practices, anti-patterns, pitfalls (~4K tokens)
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- **testing.md** - Testing strategies, frameworks (~3K tokens)
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- **config.md** - Setup, configuration, tooling (~3K tokens)
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- **frameworks.md** - Framework integration (only if composite, ~4K tokens)
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Each module follows template format:
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- Frontmatter (YAML)
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- Main sections with clear headings
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- Code examples from Exa research
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- Best practices sections
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- References to Exa sources
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5. **Write Files Directly**:
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```javascript
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// Create directory
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bash(mkdir -p \".claude/skills/{tech_stack_name}\")
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// Write each module file using Write tool
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Write({ file_path: \".claude/skills/{tech_stack_name}/principles.md\", content: ... })
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Write({ file_path: \".claude/skills/{tech_stack_name}/patterns.md\", content: ... })
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Write({ file_path: \".claude/skills/{tech_stack_name}/practices.md\", content: ... })
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Write({ file_path: \".claude/skills/{tech_stack_name}/testing.md\", content: ... })
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Write({ file_path: \".claude/skills/{tech_stack_name}/config.md\", content: ... })
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// Write frameworks.md only if composite
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// Write metadata.json
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Write({
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file_path: \".claude/skills/{tech_stack_name}/metadata.json\",
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content: JSON.stringify({
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tech_stack_name,
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components,
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is_composite,
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generated_at: timestamp,
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source: \"exa-research\",
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research_summary: { total_queries, total_sources }
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})
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})
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```
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6. **Report Completion**:
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Provide summary:
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- Tech stack name
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- Files created (count)
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- Exa queries executed
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- Sources consulted
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**CRITICAL**:
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- MUST read external template files before generating content (step 3 for modules, step 4 for index)
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- You have FULL autonomy - read files, execute Exa, synthesize content, write files
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- Do NOT return JSON or structured data - produce actual .md files
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- Handle errors gracefully (Exa failures, missing files, template read failures)
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- If tech stack cannot be determined, ask orchestrator to clarify
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"
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)
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```
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**Completion Criteria**:
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- Agent task executed successfully
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- 5-6 modular files written to `.claude/skills/{tech_stack_name}/`
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- metadata.json written
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- Agent reports completion
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**TodoWrite**: Mark phase 2 completed, phase 3 in_progress
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---
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### Phase 3: Generate SKILL.md Index
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**Note**: This phase **ALWAYS executes** - generates or updates the SKILL index.
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**Goal**: Read generated module files and create SKILL.md index with loading recommendations
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**Steps**:
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1. **Verify Generated Files**:
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```bash
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bash(find ".claude/skills/${TECH_STACK_NAME}" -name "*.md" -type f | sort)
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```
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2. **Read metadata.json**:
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```javascript
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Read(.claude/skills/${TECH_STACK_NAME}/metadata.json)
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// Extract: tech_stack_name, components, is_composite, research_summary
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```
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3. **Read Module Headers** (optional, first 20 lines):
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```javascript
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Read(.claude/skills/${TECH_STACK_NAME}/principles.md, limit: 20)
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// Repeat for other modules
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```
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4. **Read SKILL Index Template**:
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```javascript
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Read(~/.claude/workflows/cli-templates/prompts/tech/tech-skill-index.txt)
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```
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5. **Generate SKILL.md Index**:
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Follow template from tech-skill-index.txt with variable substitutions:
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- `{TECH_STACK_NAME}`: From metadata.json
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- `{MAIN_TECH}`: Primary technology
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- `{ISO_TIMESTAMP}`: Current timestamp
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- `{QUERY_COUNT}`: From research_summary
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- `{SOURCE_COUNT}`: From research_summary
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- Conditional sections for composite tech stacks
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Template provides structure for:
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- Frontmatter with metadata
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- Overview and tech stack description
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- Module organization (Core/Practical/Config sections)
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- Loading recommendations (Quick/Implementation/Complete)
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- Usage guidelines and auto-trigger keywords
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- Research metadata and version history
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6. **Write SKILL.md**:
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```javascript
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Write({
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file_path: `.claude/skills/${TECH_STACK_NAME}/SKILL.md`,
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content: generatedIndexMarkdown
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})
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```
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**Completion Criteria**:
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- SKILL.md index written
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- All module files verified
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- Loading recommendations included
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**TodoWrite**: Mark phase 3 completed
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**Final Report**:
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```
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Tech Stack SKILL Package Complete
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Tech Stack: {TECH_STACK_NAME}
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Location: .claude/skills/{TECH_STACK_NAME}/
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Files: SKILL.md + 5-6 modules + metadata.json
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Exa Research: {queries} queries, {sources} sources
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Usage: Skill(command: "{TECH_STACK_NAME}")
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```
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---
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## Implementation Details
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### TodoWrite Patterns
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**Initialization** (Before Phase 1):
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```javascript
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TodoWrite({todos: [
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{"content": "Prepare context paths", "status": "in_progress", "activeForm": "Preparing context paths"},
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{"content": "Agent produces all module files", "status": "pending", "activeForm": "Agent producing files"},
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{"content": "Generate SKILL.md index", "status": "pending", "activeForm": "Generating SKILL index"}
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]})
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```
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**Full Path** (SKIP_GENERATION = false):
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```javascript
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// After Phase 1
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TodoWrite({todos: [
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{"content": "Prepare context paths", "status": "completed", ...},
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{"content": "Agent produces all module files", "status": "in_progress", ...},
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{"content": "Generate SKILL.md index", "status": "pending", ...}
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]})
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// After Phase 2
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TodoWrite({todos: [
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{"content": "Prepare context paths", "status": "completed", ...},
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{"content": "Agent produces all module files", "status": "completed", ...},
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{"content": "Generate SKILL.md index", "status": "in_progress", ...}
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]})
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// After Phase 3
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TodoWrite({todos: [
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{"content": "Prepare context paths", "status": "completed", ...},
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{"content": "Agent produces all module files", "status": "completed", ...},
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{"content": "Generate SKILL.md index", "status": "completed", ...}
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]})
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```
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**Skip Path** (SKIP_GENERATION = true):
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```javascript
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// After Phase 1 (skip Phase 2)
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TodoWrite({todos: [
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{"content": "Prepare context paths", "status": "completed", ...},
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{"content": "Agent produces all module files", "status": "completed", ...}, // Skipped
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{"content": "Generate SKILL.md index", "status": "in_progress", ...}
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]})
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```
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### Execution Flow
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**Full Path**:
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```
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User → TodoWrite Init → Phase 1 (prepare) → Phase 2 (agent writes files) → Phase 3 (write index) → Report
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```
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**Skip Path**:
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```
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User → TodoWrite Init → Phase 1 (detect existing) → Phase 3 (update index) → Report
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```
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### Error Handling
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**Phase 1 Errors**:
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- Invalid session ID: Report error, verify session exists
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- Missing context-package: Warn, fall back to direct mode
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- No tech stack detected: Ask user to specify tech stack name
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**Phase 2 Errors (Agent)**:
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- Agent task fails: Retry once, report if fails again
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- Exa API failures: Agent handles internally with retries
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- Incomplete results: Warn user, proceed with partial data if minimum sections available
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**Phase 3 Errors**:
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- Write failures: Report which files failed
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- Missing files: Note in SKILL.md, suggest regeneration
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---
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## Parameters
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```bash
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/memory:tech-research [session-id | "tech-stack-name"] [--regenerate] [--tool <gemini|qwen>]
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```
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**Arguments**:
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- **session-id | tech-stack-name**: Input source (auto-detected by WFS- prefix)
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- Session mode: `WFS-user-auth-v2` - Extract tech stack from workflow
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- Direct mode: `"typescript"`, `"typescript-react-nextjs"` - User specifies
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- **--regenerate**: Force regenerate existing SKILL (deletes and recreates)
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- **--tool**: Reserved for future CLI integration (default: gemini)
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|
||||
---
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## Examples
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||||
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**Generated File Structure** (for all examples):
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```
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.claude/skills/{tech-stack}/
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├── SKILL.md # Index (Phase 3)
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├── principles.md # Agent (Phase 2)
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├── patterns.md # Agent
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├── practices.md # Agent
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├── testing.md # Agent
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├── config.md # Agent
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├── frameworks.md # Agent (if composite)
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└── metadata.json # Agent
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```
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### Direct Mode - Single Stack
|
||||
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```bash
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/memory:tech-research "typescript"
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```
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||||
**Workflow**:
|
||||
1. Phase 1: Detects direct mode, checks existing SKILL
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||||
2. Phase 2: Agent executes 4 Exa queries, writes 5 modules
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3. Phase 3: Generates SKILL.md index
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||||
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### Direct Mode - Composite Stack
|
||||
|
||||
```bash
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/memory:tech-research "typescript-react-nextjs"
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```
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**Workflow**:
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||||
1. Phase 1: Decomposes into ["typescript", "react", "nextjs"]
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||||
2. Phase 2: Agent executes 6 Exa queries (4 base + 2 components), writes 6 modules (adds frameworks.md)
|
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3. Phase 3: Generates SKILL.md index with framework integration
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||||
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### Session Mode - Extract from Workflow
|
||||
|
||||
```bash
|
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/memory:tech-research WFS-user-auth-20251104
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```
|
||||
|
||||
**Workflow**:
|
||||
1. Phase 1: Reads session, extracts tech stack: `python-fastapi-sqlalchemy`
|
||||
2. Phase 2: Agent researches Python + FastAPI + SQLAlchemy, writes 6 modules
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||||
3. Phase 3: Generates SKILL.md index
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||||
|
||||
### Regenerate Existing
|
||||
|
||||
```bash
|
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/memory:tech-research "react" --regenerate
|
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```
|
||||
|
||||
**Workflow**:
|
||||
1. Phase 1: Deletes existing SKILL due to --regenerate
|
||||
2. Phase 2: Agent executes fresh Exa research (latest 2025 practices)
|
||||
3. Phase 3: Generates updated SKILL.md
|
||||
|
||||
### Skip Path - Fast Update
|
||||
|
||||
```bash
|
||||
/memory:tech-research "python"
|
||||
```
|
||||
|
||||
**Scenario**: SKILL already exists with 7 files
|
||||
|
||||
**Workflow**:
|
||||
1. Phase 1: Detects existing SKILL, sets SKIP_GENERATION = true
|
||||
2. Phase 2: **SKIPPED**
|
||||
3. Phase 3: Updates SKILL.md index only (5-10x faster)
|
||||
|
||||
|
||||
Reference in New Issue
Block a user