
completion-check
by parcadei
Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
SKILL.md
name: completion-check description: "Completion Check: Verify Infrastructure Is Wired" user-invocable: false
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
-
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/ -
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 -
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 -
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 -
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
Score
Total Score
Based on repository quality metrics
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 1000以上
1ヶ月以内に更新
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
Reviews
Reviews coming soon

