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completion-check

Completion Check: Verify Infrastructure Is Wired

DevOps 与云3.9k.claude/skills/completion-check/SKILL.md

Install

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读取 https://funcoding.ai/skills/parcadei/continuous-claude-v3/completion-check/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

Completion Check: Verify Infrastructure Is Wired

When building infrastructure, verify it's actually connected to the system before marking as complete.

Pattern

Infrastructure is not done when the code is written - it's done when it's wired into the system and actively used. Dead code (built but never called) is wasted effort.

DO

  1. Trace the execution path - Follow from user intent to actual code execution:

    # Example: Verify Task tool spawns correctly
    grep -r "claude -p" src/
    grep -r "Task(" src/
    
  2. Check hooks are registered, not just implemented:

    # Hook exists?
    ls -la .claude/hooks/my-hook.sh
    
    # Hook registered in settings?
    grep "my-hook" .claude/settings.json
    
  3. Verify database connections - Ensure infrastructure uses the right backend:

    # Check connection strings
    grep -r "postgresql://" src/
    grep -r "sqlite:" src/  # Should NOT find if PostgreSQL expected
    
  4. Test end-to-end - Run the feature and verify infrastructure is invoked:

    # Add debug logging
    echo "DEBUG: DAG spawn invoked" >> /tmp/debug.log
    
    # Trigger feature
    uv run python -m my_feature
    
    # Verify infrastructure was called
    cat /tmp/debug.log
    
  5. Search for orphaned implementations:

    # Find functions defined but never called
    ast-grep --pattern 'async function $NAME() { $$$ }' | \
      xargs -I {} grep -r "{}" src/
    

DON'T

  • Mark infrastructure "complete" without testing execution path
  • Assume code is wired just because it exists
  • Build parallel systems (Task tool vs claude -p spawn)
  • Use wrong backends (SQLite when PostgreSQL is architected)
  • Skip end-to-end testing ("it compiles" ≠ "it runs")

Completion Checklist

Before declaring infrastructure complete:

  • Traced execution path from entry point to infrastructure
  • Verified hooks are registered in .claude/settings.json
  • Confirmed correct database/backend in use
  • Ran end-to-end test showing infrastructure invoked
  • Searched for dead code or parallel implementations
  • Checked configuration files match implementation

Example: DAG Task Graph

Wrong approach:

✓ Built BeadsTaskGraph class
✓ Implemented DAG dependencies
✓ Added spawn logic
✗ Never wired - Task tool still runs instead
✗ Used SQLite instead of PostgreSQL

Right approach:

✓ Built BeadsTaskGraph class
✓ Wired into Task tool execution path
✓ Verified claude -p spawn is called
✓ Confirmed PostgreSQL backend in use
✓ Tested: user calls Task() → DAG spawns → beads execute
✓ No parallel implementations found

Source Sessions

  • This session: Architecture gap discovery - DAG built but not wired, Task tool runs instead of spawn, SQLite used instead of PostgreSQL

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