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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/parcadei/continuous-claude-v3 --skill completion-check- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads completion-check automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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
FAQ
What does the completion-check skill do?
Completion Check: Verify Infrastructure Is Wired
How do I install completion-check?
Run npx skills add https://github.com/parcadei/continuous-claude-v3 --skill completion-check in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/completion-check/ (personal) or .claude/skills/completion-check/ (project).
Which AI agents can use completion-check?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is completion-check safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains completion-check?
It is published by parcadei in parcadei/continuous-claude-v3. It has 489 recorded installs.
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