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feat: add MCP server for semantic code search with FastMCP integration
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.claude/skills/wf-player/specs/node-executor.md
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.claude/skills/wf-player/specs/node-executor.md
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# Node Executor — Execution Mechanisms per Node Type
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## Overview
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Each node type uses a specific execution mechanism. This spec defines the exact invocation pattern.
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## 1. skill node
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**Mechanism**: `Skill()` tool — synchronous, blocks until complete.
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```
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Skill({
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skill: "<node.executor>",
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args: "<resolved_args>"
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})
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```
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**Output extraction**: Parse Skill() result for:
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- Session ID pattern: `WFS-[a-z]+-\d{8}` or `TC-[a-z]+-\d{8}`
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- Output path: last `.md` or `.json` file path mentioned
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- Artifacts: all file paths in output
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**Session ID sources**:
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- Explicit: "Session: WFS-plan-20260317" in output
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- Implicit: first session-like ID in output
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**Examples**:
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```
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// Planning skill
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Skill({ skill: "workflow-lite-plan", args: "Implement user authentication" })
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// Execute skill (with prior session)
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Skill({ skill: "workflow-execute", args: "--resume-session WFS-plan-20260317" })
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// Test skill (with prior session)
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Skill({ skill: "workflow-test-fix", args: "--session WFS-exec-20260317" })
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```
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---
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## 2. command node
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**Mechanism**: `Skill()` tool with namespace command name — synchronous.
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```
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Skill({
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skill: "<node.executor>", // e.g. "workflow:refactor-cycle"
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args: "<resolved_args>"
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})
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```
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**Examples**:
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```
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Skill({ skill: "workflow:refactor-cycle", args: "Reduce coupling in auth module" })
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Skill({ skill: "workflow:debug-with-file", args: "Login fails with 401 on valid tokens" })
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Skill({ skill: "issue:discover", args: "" })
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Skill({ skill: "issue:queue", args: "" })
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```
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---
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## 3. cli node
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**Mechanism**: `Bash()` with `run_in_background: true` — STOP after launch, resume via hook callback.
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```
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// Build command
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const prompt = resolveArgs(node.args_template, ...)
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const cmd = `ccw cli -p "${escapeForShell(prompt)}" --tool ${node.cli_tool} --mode ${node.cli_mode} --rule ${node.cli_rule}`
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// Launch background
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Bash({ command: cmd, run_in_background: true })
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// Save CLI task ID to node state for hook matching
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node_state.cli_task_id = <captured from stderr CCW_EXEC_ID>
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// Write session-state.json
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// STOP — do not proceed until hook callback fires
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```
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**Hook callback** (triggered when ccw cli completes):
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```
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// Identify which node was running (status = "running" with cli_task_id set)
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// Extract from CLI output:
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// - output_path: file written by CLI
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// - cli_exec_id: from CCW_EXEC_ID
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// Mark node completed
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// Advance to next node
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```
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**CLI output escaping**:
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```javascript
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function escapeForShell(s) {
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// Use single quotes with escaped single quotes inside
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return "'" + s.replace(/'/g, "'\\''") + "'"
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}
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```
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**Example**:
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```
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Bash({
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command: `ccw cli -p 'PURPOSE: Analyze auth module architecture\nTASK: • Review class structure • Check dependencies\nMODE: analysis\nCONTEXT: @src/auth/**/*\nEXPECTED: Architecture report with issues list\nCONSTRAINTS: Read only' --tool gemini --mode analysis --rule analysis-review-architecture`,
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run_in_background: true
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})
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```
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---
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## 4. agent node
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**Mechanism**: `Agent()` tool.
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Single agent (serial):
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```
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Agent({
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subagent_type: node.executor, // "general-purpose" or "code-reviewer"
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prompt: resolveArgs(node.args_template, ...),
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run_in_background: false, // blocks until complete
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description: node.name
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})
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```
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Parallel agents (same parallel_group — use team-coordinate pattern):
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```
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// For 2-3 parallel agents: launch all with run_in_background: true
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// Use SendMessage/callback or wait with sequential Skill() calls
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// For complex parallel pipelines: delegate to team-coordinate
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Skill({
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skill: "team-coordinate",
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args: "<description of parallel work>"
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})
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```
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**Output extraction**:
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- Agent output is usually the full response text
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- Look for file paths in output for `output_path`
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---
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## 5. checkpoint node
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**Mechanism**: Pure state management — no external calls unless `auto_continue: false`.
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```
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// 1. Write checkpoint snapshot
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Write({
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file_path: "<session_dir>/checkpoints/<node.id>.json",
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content: JSON.stringify({
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session_id, checkpoint_id: node.id, checkpoint_name: node.name,
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saved_at: now(), context_snapshot: session_state.context,
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node_states_snapshot: session_state.node_states,
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last_completed_node: prev_node_id,
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next_node: next_node_id
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}, null, 2)
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})
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// 2. Update session state
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session_state.last_checkpoint = node.id
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node_states[node.id].status = "completed"
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node_states[node.id].saved_at = now()
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node_states[node.id].snapshot_path = checkpointPath
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Write({ file_path: session_state_path, content: JSON.stringify(session_state, null, 2) })
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// 3. If auto_continue = false: pause for user (see 03-execute.md)
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// 4. If auto_continue = true: proceed immediately
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```
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---
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## Context Passing Between Nodes
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The runtime reference resolver in `03-execute.md` handles `{N-xxx.field}` substitution.
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**Key resolved fields by node type**:
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| Node type | Exposes | Referenced as |
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|-----------|---------|---------------|
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| skill | session_id | `{N-001.session_id}` |
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| skill | output_path | `{N-001.output_path}` |
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| skill | artifacts[0] | `{N-001.artifacts[0]}` |
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| cli | output_path | `{N-001.output_path}` |
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| agent | output_path | `{N-001.output_path}` |
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| any | shorthand prev | `{prev_session_id}`, `{prev_output_path}` |
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**Fallback**: If referenced field is null/empty, the args_template substitution results in empty string. The executor should handle gracefully (most skills default to latest session).
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