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Updates all workflow commands to create .workflow/session_status.jsonl if it doesn't exist when checking for active sessions. This ensures consistent behavior across: - gemini-chat.md: Added creation rule and updated workflow pseudocode - gemini-execute.md: Added session file creation requirement - gemini-mode.md: Updated session check process - workflow/action-plan.md: Updated both session check locations - task/replan.md: Added creation rule to session validation - task/breakdown.md: Updated session check process - workflow/brainstorm.md: Added creation rule to session registry query Also includes cleanup of deprecated command files (context.md, sync.md) and documentation updates for task creation complexity escalation. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
9.8 KiB
9.8 KiB
name: gemini-execute
description: Intelligent context inference executor with auto-approval capabilities, supporting user descriptions and task ID execution modes
usage: /gemini-execute <description|task-id> [--debug] [--save-session]
argument-hint: "implementation description or task-id" [debug, session saving]
examples:
- /gemini-execute "implement user authentication system"
- /gemini-execute "optimize React component performance @{custom/path}"
- /gemini-execute IMPL-001
- /gemini-execute "fix API performance issues" --debug --save-session
allowed-tools: Bash(gemini:*)
model: sonnet
🚀 Command Overview: /gemini-execute
- Type: Intelligent Context Inference Executor.
- Purpose: Infers context files to automatically execute implementation tasks using the Gemini CLI.
- Key Feature: Non-interactive, auto-approved execution by default for streamlined workflows.
- Core Tool:
Bash(gemini:*).
⚙️ Execution Modes
- Direct User Description Mode:
- Input: A natural language description of the task (e.g.,
"implement user authentication system"). - Process: Analyzes keywords in the description to intelligently infer and collect relevant context files before execution.
- Input: A natural language description of the task (e.g.,
- Task ID Mode:
- Input: A specific task identifier (e.g.,
IMPL-001). - Process: Parses the corresponding
.task/impl-*.jsonfile to determine scope, type, and related files for execution.
- Input: A specific task identifier (e.g.,
📥 Command Parameters
--debug: Outputs detailed logs of the inference process and execution steps.--save-session: Saves the entire execution session to the.workflow/WFS-[topic-slug]/.chat/directory.
Note: All executions run in auto-approval mode by default (equivalent to previous --yolo behavior).
🔄 High-Level Execution Flow
- Description Input:
Keyword Extraction->Pattern Mapping->Context Collection->Gemini Execution - Task ID Input:
Task Parsing->Type & Scope Analysis->Reference Integration->Gemini Execution
🧠 Intelligent Inference Logic
This logic determines which files are collected as context before calling the Gemini CLI.
FUNCTION infer_context(input, user_description):
collected_files = ["@{CLAUDE.md,**/*CLAUDE.md}"] // Base context
// Check for and process user-specified file overrides first
IF user_description contains "@{...}":
user_patterns = extract_patterns_from_string(user_description)
collected_files += user_patterns
// Determine execution mode based on input format
IF input matches pattern 'IMPL-*': // Task ID Mode
task_data = read_json_file(".task/" + input + ".json")
IF task_data is not found:
RAISE_ERROR("Task ID not found")
RETURN
// Infer patterns based on task type (e.g., "feature", "bugfix")
type_patterns = get_patterns_for_task_type(task_data.type)
collected_files += type_patterns
collected_files += task_data.brainstorming_refs
ELSE: // User Description Mode
keywords = extract_tech_keywords(user_description)
// Map keywords to file patterns (e.g., "React" -> "src/components/**/*.{jsx,tsx}")
inferred_patterns = map_keywords_to_file_patterns(keywords)
collected_files += inferred_patterns
// The final collected files are used to construct the Gemini command
// This corresponds to calling the allowed tool `Bash(gemini:*)`
run_gemini_cli(collected_files, user_description)
END FUNCTION
🖐️ User Override Logic
Users can override or supplement the automatic inference.
FUNCTION calculate_final_patterns(description):
inferred_patterns = get_inferred_patterns(description) // e.g., **/*auth*
user_patterns = extract_user_patterns(description) // e.g., @{custom/auth/helpers.js}
// The final context is the union of inferred and user-specified patterns
final_patterns = inferred_patterns + user_patterns
RETURN final_patterns
END FUNCTION
🛠️ Gemini CLI Integration (Templated)
The following templates are used to call the gemini command via the Bash tool.
# User Description Mode
gemini --all-files --yolo -p "@{intelligently_inferred_file_patterns} @{CLAUDE.md,**/*CLAUDE.md}
Implementation Task: [user_description]
Based on intelligently inferred context, please provide:
- Specific implementation code
- File modification locations (file:line)
- Test cases
- Integration guidance"
# Task ID Mode
gemini --all-files --yolo -p "@{task_related_files} @{brainstorming_refs} @{CLAUDE.md,**/*CLAUDE.md}
Task Execution: [task_title] (ID: [task-id])
Task Description: [extracted_from_json]
Task Type: [feature/bugfix/refactor/etc]
Please execute implementation based on task definition:
- Follow task acceptance criteria
- Based on brainstorming analysis results
- Provide specific code and tests"
🔗 Workflow System Integration Logic
The command integrates deeply with the workflow system with auto-approval by default.
FUNCTION execute_with_workflow(task, flags):
// All confirmation steps are automatically approved by default
confirm_inferred_files = TRUE
confirm_gemini_execution = TRUE
confirm_file_modifications = TRUE
// Execute the task with auto-approval
execute_gemini_task(task)
// Actions performed after successful execution
generate_task_summary_doc()
update_workflow_status_files() // Updates WFS & workflow-session.json
END FUNCTION
📄 Task Summary Template (Templated)
This template is automatically filled and generated after execution.
# Task Summary: [Task-ID/Generated-ID] [Task Name/Description]
## Execution Content
- **Intelligently Inferred Files**: [inferred_file_patterns]
- **Gemini Analysis Results**: [key_findings]
- **Implemented Features**: [specific_implementation_content]
- **Modified Files**: [file:line references]
## Issues Resolved
- [list_of_resolved_problems]
## Links
- [🔙 Back to Task List](../TODO_LIST.md#[Task-ID])
- [📋 Implementation Plan](../IMPL_PLAN.md#[Task-ID])
🛡️ Error Handling Protocols
- Keyword Inference Failure:
Use generic pattern 'src/**/*'->Prompt user for manual specification. - Task ID Not Found:
Display error message->List available tasks. - File Pattern No Matches:
Expand search scope->Log debug info. - Gemini CLI Failure:
Attempt fallback mode (e.g., --all-files -> @{patterns})->Simplify context & retry.
⚡ Performance Optimizations
- Caching: Caches frequently used keyword-to-pattern mapping results.
- Pattern Optimization: Avoids overly broad file patterns like
**/*where possible. - Progressive Inference: Tries precise patterns (
src/api/auth) before broader ones (**/*auth*). - Path Navigation: Switches to the optimal execution directory based on inference to shorten paths.
🤝 Integration & Coordination
- vs.
gemini-chat:gemini-chatis for pure analysis;/gemini-executeperforms analysis and execution. - vs.
code-developer:code-developerrequires manual context provision;/gemini-executeinfers context automatically. - Typical Workflow Sequence:
workflow:session "..."workflow:brainstormworkflow:plan/gemini-execute IMPL-001workflow:review
💾 Session Persistence
⚠️ CRITICAL: Before saving, MUST check for existing active session to avoid creating duplicate sessions.
- Trigger: Activated by the
--save-sessionflag. - Action: Saves the complete execution session, including inferred context, Gemini analysis, and implementation results.
- Session Check: Query
.workflow/session_status.jsonlto identify current active session. If the file doesn't exist, create it. - Location Strategy:
- IF active session exists: Save to existing
.workflow/WFS-[topic-slug]/.chat/directory - IF no active session: Create new session directory following WFS naming convention
- IF active session exists: Save to existing
Core Principles: @/.claude/workflows/core-principles.md/.claude/workflows/file-structure-standards.md
File Structure: @
- File Format:
execute-YYYYMMDD-HHMMSS.mdwith timestamp for unique identification. - Structure: Integrates with session management system using WFS-[topic-slug] format for consistency.
- Coordination: Session files coordinate with workflow-session.json and maintain document-state separation.
🔗 Execution Session Integration
Storage Structure:
.workflow/WFS-[topic-slug]/.chat/
├── execute-20240307-143022.md # Execution sessions with timestamps
├── execute-20240307-151445.md # Chronologically ordered
└── analysis-[topic].md # Referenced analysis sessions
Execution Session Template:
# Execution Session: [Timestamp] - [Task/Description]
## Input
[Original user description or Task ID]
## Context Inference
[Intelligently inferred file patterns and rationale]
## Task Details (if Task ID mode)
[Extracted task data from .task/*.json]
## Gemini Execution
[Complete Gemini CLI command and parameters]
## Implementation Results
[Code generated, files modified, test cases]
## Key Outcomes
- [Files modified/created]
- [Features implemented]
- [Issues resolved]
## Integration Links
- [🔙 Workflow Session](../workflow-session.json)
- [📋 Implementation Plan](../IMPL_PLAN.md)
- [📝 Task Definitions](../.task/)
- [📑 Summary](../.summaries/)
✅ Quality Assurance Principles
- Inference Accuracy: Keyword mapping tables are regularly updated based on project patterns and user feedback.
- Execution Reliability: Implements robust error handling and leverages debug mode for detailed tracing.
- Documentation Completeness: Ensures auto-generated summaries are structured and workflow statuses are synced in real-time.