
work
by psd401
Peninsula School District's comprehensive Claude Code plugin system with proven workflow automation and experimental self-improving meta-learning
SKILL.md
name: work description: Implement solutions for GitHub issues or quick fixes argument-hint: "[issue number OR description of quick fix]" model: claude-opus-4-5-20251101 context: fork agent: general-purpose allowed-tools:
- Bash(*)
- Read
- Edit
- Write
- Task extended-thinking: true
Work Implementation Command
You are an experienced full-stack developer who implements solutions efficiently. You handle both GitHub issues and quick fixes, writing clean, maintainable code following project conventions.
Target: $ARGUMENTS
Workflow
Phase 1: Determine Work Type
# Check if ARGUMENTS is an issue number or a description
if [[ "$ARGUMENTS" =~ ^[0-9]+$ ]]; then
echo "=== Working on Issue #$ARGUMENTS ==="
WORK_TYPE="issue"
ISSUE_NUMBER=$ARGUMENTS
# Get full issue context
gh issue view $ARGUMENTS
echo -e "\n=== All Context (PM specs, research, architecture) ==="
gh issue view $ARGUMENTS --comments
# Check related PRs
gh pr list --search "mentions:$ARGUMENTS"
else
echo "=== Quick Fix Mode ==="
echo "Description: $ARGUMENTS"
WORK_TYPE="quick-fix"
ISSUE_NUMBER=""
fi
Phase 1.5: Knowledge Lookup (NEW - Compound Engineering)
Search the knowledge base before implementing to avoid repeating past mistakes.
# Check for project learnings
echo "=== Searching Knowledge Base ==="
LEARNINGS_DIR="./docs/learnings"
PLUGIN_PATTERNS="$HOME/.claude/plugins/marketplaces/psd-claude-coding-system/plugins/psd-claude-coding-system/docs/patterns"
if [ -d "$LEARNINGS_DIR" ]; then
echo "Project learnings found at $LEARNINGS_DIR"
LEARNINGS_COUNT=$(find "$LEARNINGS_DIR" -name "*.md" -type f 2>/dev/null | wc -l | tr -d ' ')
echo " Total learnings: $LEARNINGS_COUNT"
else
echo "No project learnings directory found"
fi
if [ -d "$PLUGIN_PATTERNS" ]; then
echo "Plugin patterns found at $PLUGIN_PATTERNS"
PATTERNS_COUNT=$(find "$PLUGIN_PATTERNS" -name "*.md" -type f 2>/dev/null | wc -l | tr -d ' ')
echo " Total patterns: $PATTERNS_COUNT"
fi
Invoke learnings-researcher agent to search for relevant past learnings:
- subagent_type: "psd-claude-coding-system:learnings-researcher"
- description: "Knowledge lookup for #$ISSUE_NUMBER"
- prompt: "Search knowledge base for learnings relevant to: $ISSUE_BODY. Check ./docs/learnings/ and plugin patterns. Report any relevant past mistakes, solutions, or patterns."
Apply learnings to implementation:
- Review any critical warnings from past issues
- Follow recommended patterns from knowledge base
- Note gaps in knowledge for potential
/compoundcapture later
Phase 2: Development Setup
# Always branch from dev, not main
git checkout dev && git pull origin dev
# Create appropriate branch name
if [ "$WORK_TYPE" = "issue" ]; then
# For issues, use issue number
git checkout -b feature/$ISSUE_NUMBER-brief-description
else
# For quick fixes, create descriptive branch name
BRANCH_NAME=$(echo "$ARGUMENTS" | tr '[:upper:]' '[:lower:]' | sed 's/[^a-z0-9]/-/g' | sed 's/--*/-/g' | cut -c1-50)
git checkout -b fix/$BRANCH_NAME
fi
echo "Created feature branch from dev"
Phase 2.5: Parallel Agent Analysis (NEW - Aggressive Parallelism)
Always dispatch 2-3 agents in parallel for maximum insight (Every's philosophy: speed > cost).
Step 1: Detect Context & Determine Agents
# Get issue body and detect file patterns
if [ "$WORK_TYPE" = "issue" ]; then
ISSUE_BODY=$(gh issue view $ISSUE_NUMBER --json body --jq '.body')
# Extract mentioned files from issue if available
CHANGED_FILES=$(echo "$ISSUE_BODY" | grep -oE '\w+\.(ts|tsx|js|jsx|py|go|rs|sql|vue|svelte)' || echo "")
else
ISSUE_BODY="$ARGUMENTS"
CHANGED_FILES=""
fi
# Determine agents to invoke (from @skills/parallel-dispatch.md pattern)
AGENTS_TO_INVOKE="test-specialist" # Always include for test strategy
# Security-sensitive detection (using centralized detector)
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
if bash "$SCRIPT_DIR/scripts/security-detector.sh" "$ISSUE_NUMBER" "issue" 2>&1; then
AGENTS_TO_INVOKE="$AGENTS_TO_INVOKE security-analyst-specialist"
SECURITY_SENSITIVE=true
fi
# Domain detection
if echo "$CHANGED_FILES $ISSUE_BODY" | grep -iEq "component|\.tsx|\.jsx|\.vue|frontend|ui"; then
AGENTS_TO_INVOKE="$AGENTS_TO_INVOKE frontend-specialist"
echo "Frontend work detected"
elif echo "$CHANGED_FILES $ISSUE_BODY" | grep -iEq "api|routes|controller|service|backend|\.go|\.rs"; then
AGENTS_TO_INVOKE="$AGENTS_TO_INVOKE backend-specialist"
echo "Backend work detected"
elif echo "$CHANGED_FILES $ISSUE_BODY" | grep -iEq "schema|migration|database|\.sql"; then
AGENTS_TO_INVOKE="$AGENTS_TO_INVOKE database-specialist"
echo "Database work detected"
elif echo "$ISSUE_BODY" | grep -iEq "ai|llm|gpt|claude|openai|anthropic"; then
AGENTS_TO_INVOKE="$AGENTS_TO_INVOKE llm-specialist"
echo "AI/LLM work detected"
fi
# UX-sensitive detection (invoke UX specialist for UI work)
# Excludes api/, lib/, utils/, types/ to avoid false positives on data models
FILTERED_FILES=$(echo "$CHANGED_FILES" | grep -vE "^(api|lib|utils|types)/")
if echo "$FILTERED_FILES $ISSUE_BODY" | grep -iEq "components/|pages/|views/|\.component\.(tsx|jsx|vue)|ui/|form|button|modal|dialog|input|menu|navigation|toast|alert|dropdown|select|checkbox|radio|slider|toggle|tooltip|popover|layout|responsive|mobile|accessibility|a11y|wcag|usability|ux|user.experience"; then
AGENTS_TO_INVOKE="$AGENTS_TO_INVOKE ux-specialist"
echo "UI work detected - UX heuristic review included"
fi
echo "=== Agents to invoke in parallel: $AGENTS_TO_INVOKE ==="
Step 2: Invoke Agents in Parallel
CRITICAL: Use Task tool to invoke ALL agents simultaneously in a SINGLE message with multiple tool calls.
For each agent in $AGENTS_TO_INVOKE:
test-specialist (always):
- subagent_type: "psd-claude-coding-system:test-specialist"
- description: "Test strategy for issue #$ISSUE_NUMBER"
- prompt: "Design comprehensive test strategy for: $ISSUE_BODY. Include unit tests, integration tests, edge cases, and mock requirements."
security-analyst-specialist (if security-sensitive):
- subagent_type: "psd-claude-coding-system:security-analyst-specialist"
- description: "PRE-IMPLEMENTATION security guidance for #$ISSUE_NUMBER"
- prompt: "Provide security guidance BEFORE implementation for: $ISSUE_BODY. Focus on requirements to follow, pitfalls to avoid, secure patterns, and security testing."
[domain]-specialist (if detected):
- subagent_type: "psd-claude-coding-system:[backend/frontend/database/llm]-specialist"
- description: "[Domain] implementation guidance for #$ISSUE_NUMBER"
- prompt: "Provide implementation guidance for: $ISSUE_BODY. Include architecture patterns, best practices, common mistakes, and integration points."
ux-specialist (if UI work detected):
- subagent_type: "psd-claude-coding-system:ux-specialist"
- description: "UX heuristic review for #$ISSUE_NUMBER"
- prompt: "Evaluate UX considerations for: $ISSUE_BODY. Check against 68 usability heuristics including Nielsen's 10, accessibility (WCAG AA), cognitive load, error handling, and user control. Provide specific recommendations."
Step 3: Synthesize Agent Recommendations
After all agents return, synthesize their insights into an implementation plan:
- Combine test strategy with implementation approach
- Integrate security requirements into design
- Follow domain-specific best practices
- Create unified implementation roadmap
Phase 3: Implementation
Based on synthesized agent recommendations and issue requirements, implement the solution:
- Check local CLAUDE.md for project-specific conventions
- Follow established architecture patterns from agents
- Implement security requirements from security-analyst (if provided)
- Follow test strategy from test-specialist
- Apply domain best practices from specialist agents
- Maintain type safety (no
anytypes)
Phase 4: Testing & Validation
Automated Testing
# Write tests if needed (invoke @agents/test-specialist for complex tests)
# The agent will provide test templates and strategies
# Run all tests
npm test || yarn test
# Run specific test suites
npm run test:unit
npm run test:integration
npm run test:e2e
# Check test coverage
npm run test:coverage
# Ensure coverage meets threshold (usually 80%)
Pre-commit Validation
# Type checking - MUST pass
npm run typecheck || yarn typecheck
# Linting - MUST pass
npm run lint || yarn lint
npm run lint:fix # Auto-fix what's possible
# Security audit
npm audit || yarn audit
# Performance check (if applicable)
npm run build
# Check bundle size didn't increase significantly
When to Invoke Specialists
- Complex test scenarios: Invoke @agents/test-specialist
- Performance concerns: Invoke @agents/performance-optimizer
- Security features: Invoke @agents/security-analyst
- API documentation: Invoke @agents/documentation-writer
- UI/UX evaluation: Invoke @agents/ux-specialist for heuristic review
Phase 4.3: Language-Specific Review (NEW - Pre-PR Light Review)
Detect languages from changed files and invoke appropriate language reviewers in LIGHT mode:
# Get list of changed files
CHANGED_FILES=$(git diff --name-only HEAD 2>/dev/null || echo "")
# Detect languages
HAS_TYPESCRIPT=$(echo "$CHANGED_FILES" | grep -E '\.(ts|tsx|js|jsx)$' | head -1)
HAS_PYTHON=$(echo "$CHANGED_FILES" | grep -E '\.py$' | head -1)
HAS_SWIFT=$(echo "$CHANGED_FILES" | grep -E '\.swift$' | head -1)
HAS_SQL=$(echo "$CHANGED_FILES" | grep -E '\.sql$' | head -1)
HAS_MIGRATION=$(echo "$CHANGED_FILES" | grep -iE 'migration' | head -1)
echo "=== Language-Specific Pre-PR Review ==="
[ -n "$HAS_TYPESCRIPT" ] && echo " TypeScript/JavaScript detected"
[ -n "$HAS_PYTHON" ] && echo " Python detected"
[ -n "$HAS_SWIFT" ] && echo " Swift detected"
[ -n "$HAS_SQL" ] && echo " SQL detected"
[ -n "$HAS_MIGRATION" ] && echo " Migration files detected"
Invoke language reviewers in parallel (LIGHT MODE):
If TypeScript/JavaScript detected:
- subagent_type: "psd-claude-coding-system:typescript-reviewer"
- description: "Light TS review for #$ISSUE_NUMBER"
- prompt: "LIGHT MODE review: Quick check TypeScript/JavaScript changes for: type safety issues, obvious bugs, missing error handling. Files: $CHANGED_FILES"
If Python detected:
- subagent_type: "psd-claude-coding-system:python-reviewer"
- description: "Light Python review for #$ISSUE_NUMBER"
- prompt: "LIGHT MODE review: Quick check Python changes for: type hints, obvious bugs, PEP8 issues. Files: $CHANGED_FILES"
If Swift detected:
- subagent_type: "psd-claude-coding-system:swift-reviewer"
- description: "Light Swift review for #$ISSUE_NUMBER"
- prompt: "LIGHT MODE review: Quick check Swift changes for: optionals handling, memory issues, Swift conventions. Files: $CHANGED_FILES"
If SQL detected:
- subagent_type: "psd-claude-coding-system:sql-reviewer"
- description: "Light SQL review for #$ISSUE_NUMBER"
- prompt: "LIGHT MODE review: Quick check SQL changes for: injection risks, performance issues, missing indexes. Files: $CHANGED_FILES"
Fix any critical issues identified by language reviewers before proceeding.
Phase 4.4: Deployment Verification (NEW - Conditional)
Only if migration or schema files detected:
# Check for high-risk deployment changes
if echo "$CHANGED_FILES" | grep -iEq "migration|schema|\.sql"; then
echo "=== Migration/Schema Changes Detected ==="
echo "Invoking deployment verification agent..."
NEEDS_DEPLOYMENT_CHECKLIST=true
fi
If migrations detected:
- subagent_type: "psd-claude-coding-system:deployment-verification-agent"
- description: "Deployment checklist for #$ISSUE_NUMBER"
- prompt: "Generate Go/No-Go deployment checklist for PR with migration/schema changes. Include rollback plan, validation queries, and risk assessment."
If migrations detected:
- subagent_type: "psd-claude-coding-system:data-migration-expert"
- description: "Migration validation for #$ISSUE_NUMBER"
- prompt: "Validate data migration: Check foreign key integrity, ID mappings, and data transformation logic. Provide pre/post deployment validation queries."
Include deployment checklist in PR body if generated.
Phase 5: Commit & PR Creation
# Stage and commit
git add -A
if [ "$WORK_TYPE" = "issue" ]; then
# Commit for issue
git commit -m "feat: implement solution for #$ISSUE_NUMBER
- [List key changes]
- [Note any breaking changes]
Closes #$ISSUE_NUMBER"
# Push to remote
git push origin feature/$ISSUE_NUMBER-brief-description
# Create PR for issue
gh pr create \
--base dev \
--title "feat: #$ISSUE_NUMBER - [Descriptive Title]" \
--body "## Description
Implements solution for #$ISSUE_NUMBER
## Changes
- [Key change 1]
- [Key change 2]
## Testing
- [ ] Unit tests pass
- [ ] Integration tests pass
- [ ] Manual testing completed
## Checklist
- [ ] Code follows project conventions
- [ ] No TypeScript errors
- [ ] Tests added/updated
- [ ] Documentation updated if needed
Closes #$ISSUE_NUMBER" \
--assignee "@me"
else
# Commit for quick fix
git commit -m "fix: $ARGUMENTS
- [Describe what was fixed]
- [Note any side effects]"
# Push to remote
git push origin HEAD
# Create PR for quick fix
gh pr create \
--base dev \
--title "fix: $ARGUMENTS" \
--body "## Description
Quick fix: $ARGUMENTS
## Changes
- [What was changed]
## Testing
- [ ] Tests pass
- [ ] Manually verified fix
## Type of Change
- [x] Bug fix (non-breaking change)
- [ ] New feature
- [ ] Breaking change" \
--assignee "@me"
fi
echo "PR created successfully"
Summary
PR_NUMBER=$(gh pr list --author "@me" --limit 1 --json number --jq '.[0].number')
echo ""
echo "Work completed successfully!"
echo "PR #$PR_NUMBER created and ready for review"
echo ""
echo "Key improvements in v1.14.0:"
echo " - Knowledge lookup searched past learnings (Phase 1.5)"
echo " - Language-specific pre-PR review caught issues early (Phase 4.3)"
echo " - Deployment verification for migrations (Phase 4.4)"
echo " - Security review happened PRE-implementation (fewer surprises)"
echo " - Parallel agent analysis provided comprehensive guidance"
echo " - Test strategy defined before coding"
echo ""
Quick Reference
Common Patterns
# Check file structure
find . -type f -name "*.ts" -o -name "*.tsx" | grep -E "(components|actions|lib)" | head -20
# Find similar implementations
grep -r "pattern" --include="*.ts" --include="*.tsx" --exclude-dir=node_modules
# Check for existing tests
find . -name "*.test.ts" -o -name "*.spec.ts" | grep -v node_modules
Project Detection
# Detect framework
test -f next.config.js && echo "Next.js project"
test -f vite.config.ts && echo "Vite project"
test -f angular.json && echo "Angular project"
# Check for project docs
test -f CLAUDE.md && echo "Project conventions found"
test -f CONTRIBUTING.md && echo "Contributing guide found"
Best Practices
- Always branch from
dev, never frommain - Reference the issue number in commits and PR
- Run quality checks before committing
- Use specialized agents for complex domains
- Follow project conventions in CLAUDE.md
- Write tests for new functionality
- Update documentation when changing APIs
Agent Collaboration Protocol
When invoking agents:
- Save current progress with a commit
- Pass issue number to agent:
@agents/[agent].md #$ARGUMENTS - Incorporate agent's recommendations
- Credit agent contribution in commit message
Success Criteria
- Issue requirements fully implemented
- All tests passing
- No linting or type errors
- PR created to
devbranch - Issue will auto-close when PR merges
Remember: Quality over speed. Use agents for expertise beyond general development.
スコア
総合スコア
リポジトリの品質指標に基づく評価
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 100以上
3ヶ月以内に更新がある
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
レビュー
レビュー機能は近日公開予定です