/phase2-performance
After registration audit completes, automatically analyze improvement opportunities.
$ npx -y skills add athola/claude-night-market --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/phase2-performance
Context preview
What this command does when you run it.
After registration audit completes, automatically analyze improvement opportunities.
Command definition
phase2-performance.mdPhase 2: Performance and Improvement Analysis
After registration audit completes, automatically analyze improvement opportunities.
Step 1: Check Skill Performance Metrics
For each plugin being updated, invoke `pensive:skill-review` to analyze execution history:
# If updating specific plugin
pensive:skill-review --plugin <plugin-name> --recommendations
# If updating all plugins
pensive:skill-review --all-plugins --recommendations
Look for:
- Unstable skills (stability_gap > 0.3)
- Recent failure patterns
- Performance degradation trends
- Low success rates (< 80%)
Step 2: Surface Recent Failures
Query skill execution logs for failures:
/skill-logs --plugin <plugin-name> --failures-only --last 7d
Extract:
- Common error messages
- Recurring failure patterns
- Environmental dependencies causing issues
Step 3: Check for Workflow Improvements
1. Check if `sanctum:workflow-improvement` skill has been invoked recently 2. Review git history for recent fixes to commands/skills/agents in this plugin 3. Check issue tracker for open improvement issues
Command to check recent workflow fixes:
git log --oneline --grep="improve\|fix\|optimize" \
--since="30 days ago" -- plugins/<plugin-name>/
Step 4: Generate Improvement Recommendations
Based on Steps 1-3, create recommendations in this format:
## Improvement Recommendations for <plugin-name>
### Critical (Immediate Action)
- [ ] Skill: <skill-name> - Stability gap: 0.45 - Review error handling
- [ ] Command: <command-name> - 5 failures in last week - Missing validation
### Moderate (Schedule for Next Sprint)
- [ ] Agent: <agent-name> - Performance degradation detected - Review token usage
- [ ] Skill: <skill-name> - Low success rate (72%) - Improve documentation
### Low Priority (Backlog)
- [ ] Hook: <hook-name> - Occasional timeouts - Add async handling
Step 5: Create Action Items (Automatic)
Critical and Moderate issues are automatically logged to GitHub issues.
For each Critical or Moderate recommendation:
1. Check for duplicates in existing issues first 2. Create GitHub issue with appropriate labels:
- Critical: `high-priority`, `plugin:<name>`, component label
- Moderate: `medium-priority`, `plugin:<name>`, component label
3. Report created issues to user at end of command
Low Priority items are reported but NOT auto-created (remain in backlog documentation).
To skip automatic creation: use `--no-auto-issues` flag.
Also create TodoWrite items for immediate tracking:
improvement:<plugin-name>:skill-<name>-stability
improvement:<plugin-name>:command-<name>-validation
improvement:<plugin-name>:agent-<name>-performance
Read more
Phase 2: Performance and Improvement Analysis
After registration audit completes, automatically analyze improvement opportunities.
Step 1: Check Skill Performance Metrics
For each plugin being updated, invoke `pensive:skill-review` to analyze execution history:
# If updating specific plugin pensive:skill-review --plugin <plugin-name> --recommendations # If updating all plugins pensive:skill-review --all-plugins --recommendations
Look for:
- Unstable skills (stability_gap > 0.3)
- Recent failure patterns
- Performance degradation trends
- Low success rates (< 80%)
Step 2: Surface Recent Failures
Query skill execution logs for failures:
/skill-logs --plugin <plugin-name> --failures-only --last 7d
Extract:
- Common error messages
- Recurring failure patterns
- Environmental dependencies causing issues
Step 3: Check for Workflow Improvements
1. Check if `sanctum:workflow-improvement` skill has been invoked recently 2. Review git history for recent fixes to commands/skills/agents in this plugin 3. Check issue tracker for open improvement issues
Command to check recent workflow fixes:
git log --oneline --grep="improve\|fix\|optimize" \ --since="30 days ago" -- plugins/<plugin-name>/
Step 4: Generate Improvement Recommendations
Based on Steps 1-3, create recommendations in this format:
## Improvement Recommendations for <plugin-name> ### Critical (Immediate Action) - [ ] Skill: <skill-name> - Stability gap: 0.45 - Review error handling - [ ] Command: <command-name> - 5 failures in last week - Missing validation ### Moderate (Schedule for Next Sprint) - [ ] Agent: <agent-name> - Performance degradation detected - Review token usage - [ ] Skill: <skill-name> - Low success rate (72%) - Improve documentation ### Low Priority (Backlog) - [ ] Hook: <hook-name> - Occasional timeouts - Add async handling
Step 5: Create Action Items (Automatic)
Critical and Moderate issues are automatically logged to GitHub issues.
For each Critical or Moderate recommendation:
1. Check for duplicates in existing issues first 2. Create GitHub issue with appropriate labels:
- Critical: `high-priority`, `plugin:<name>`, component label
- Moderate: `medium-priority`, `plugin:<name>`, component label
3. Report created issues to user at end of command
Low Priority items are reported but NOT auto-created (remain in backlog documentation).
To skip automatic creation: use `--no-auto-issues` flag.
Also create TodoWrite items for immediate tracking:
improvement:<plugin-name>:skill-<name>-stability improvement:<plugin-name>:command-<name>-validation improvement:<plugin-name>:agent-<name>-performance
A plugin marketplace for Claude Code. Install only the plugins you need to run git workflows, code review, spec-driven development, and autonomous agents from inside your Claude Code session.
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