From gh-workflow
Discovers available agents, skills, quality commands (lint, test, typecheck), and tech stack in the project environment. Use when starting implementation, creating PRs, reviewing PRs, or addressing feedback to determine which agents to dispatch and which quality commands to run. Use before workflow execution to adapt gh-workflow commands to project-specific tooling.
npx claudepluginhub synaptiai/synapti-marketplace --plugin gh-workflowThis skill is limited to using the following tools:
This skill discovers available capabilities (skills, agents, commands) in the user's environment to enable dynamic workflow adaptation.
Creates isolated Git worktrees for feature branches with prioritized directory selection, gitignore safety checks, auto project setup for Node/Python/Rust/Go, and baseline verification.
Executes implementation plans in current session by dispatching fresh subagents per independent task, with two-stage reviews: spec compliance then code quality.
Dispatches parallel agents to independently tackle 2+ tasks like separate test failures or subsystems without shared state or dependencies.
This skill discovers available capabilities (skills, agents, commands) in the user's environment to enable dynamic workflow adaptation.
Before executing workflows, discover what tools are available so commands can:
Find agent files and extract their description from YAML frontmatter.
1a. Use Glob (two parallel calls) to find agent files:
Glob: pattern=".claude/agents/*.md" — project-level agentsGlob: pattern="plugins/*/agents/*.md" — plugin agents1b. Use Grep on discovered files to extract descriptions:
Grep: pattern="^description:" path="{file}" output_mode="content"Parse each result:
project (from .claude/agents/) or plugin name (from plugins/{name}/agents/).md extensiondescription: on the matched lineIf no files found by Glob, report "No custom agents found" and continue.
Find skill files and extract their description from SKILL.md frontmatter.
2a. Use Glob (two parallel calls) to find skill files:
Glob: pattern=".claude/skills/*/SKILL.md" — project-level skillsGlob: pattern="plugins/*/skills/*/SKILL.md" — plugin skills2b. Use Grep on discovered files to extract descriptions:
Grep: pattern="^description:" path="{file}" output_mode="content"Parse each result:
project (from .claude/skills/) or plugin name (from plugins/{name}/skills/)description: on the matched lineIf no files found by Glob, report "No custom skills found" and continue.
Find command files and extract their description from YAML frontmatter.
3a. Use Glob (two parallel calls) to find command files:
Glob: pattern=".claude/commands/*.md" — project-level commandsGlob: pattern="plugins/*/commands/*.md" — plugin commands3b. Use Grep on discovered files to extract descriptions:
Grep: pattern="^description:" path="{file}" output_mode="content"Parse each result:
project (from .claude/commands/) or plugin name (from plugins/{name}/commands/).md extensiondescription: on the matched lineIf no files found by Glob, report "No custom commands found" and continue.
Check both .claude/CLAUDE.md and root CLAUDE.md (prefer .claude/CLAUDE.md):
# Determine CLAUDE.md path
CLAUDE_MD=""
[ -f ".claude/CLAUDE.md" ] && CLAUDE_MD=".claude/CLAUDE.md"
[ -z "$CLAUDE_MD" ] && [ -f "CLAUDE.md" ] && CLAUDE_MD="CLAUDE.md"
if [ -n "$CLAUDE_MD" ]; then
echo "Found: $CLAUDE_MD"
# Explicit quality command definitions (key: value format)
grep -E "^(lint|test|check|format|typecheck|build):" "$CLAUDE_MD" 2>/dev/null
# npm/pnpm/yarn/bun script references
grep -E "(npm|pnpm|yarn|bun) (run )?(lint|test|check|format|build|typecheck)" "$CLAUDE_MD" 2>/dev/null
# Python tool references
grep -E "(ruff|pytest|poetry run|python -m pytest|mypy|pyright|black|isort|flake8|pylint)" "$CLAUDE_MD" 2>/dev/null
# Go tool references
grep -E "(go vet|go test|golangci-lint)" "$CLAUDE_MD" 2>/dev/null
# Rust tool references
grep -E "(cargo (clippy|test|fmt|check))" "$CLAUDE_MD" 2>/dev/null
# Make targets
grep -E "^(lint|test|check|format):" "$CLAUDE_MD" 2>/dev/null
grep -E "make (lint|test|check|format)" "$CLAUDE_MD" 2>/dev/null
else
echo "No CLAUDE.md found"
fi
# Detect stack and extract actionable config
[ -f "pyproject.toml" ] && echo "python" && grep -A5 '\[tool.ruff\]\|\[tool.pytest\]\|\[tool.mypy\]' pyproject.toml 2>/dev/null | head -20
[ -f "package.json" ] && echo "node" && python3 -c "import json; d=json.load(open('package.json')); [print(f' script: {k} = {v}') for k,v in d.get('scripts',{}).items() if any(w in k for w in ['lint','test','check','build','dev','start','format','typecheck','e2e'])]" 2>/dev/null
[ -f "tsconfig.json" ] && echo "typescript"
[ -f "go.mod" ] && echo "go"
[ -f "Cargo.toml" ] && echo "rust"
[ -f "Gemfile" ] && echo "ruby"
[ -f "Makefile" ] && echo "makefile" && grep -E '^(lint|test|check|format|build|dev|serve):' Makefile 2>/dev/null
If Step 5 detected no tech stack files (none of pyproject.toml, package.json, tsconfig.json, go.mod, Cargo.toml, Gemfile, Makefile) and Step 4 found no quality commands in CLAUDE.md:
Skip Step 6 and produce the output with:
# Determine CLAUDE.md path
CLAUDE_MD=""
[ -f ".claude/CLAUDE.md" ] && CLAUDE_MD=".claude/CLAUDE.md"
[ -z "$CLAUDE_MD" ] && [ -f "CLAUDE.md" ] && CLAUDE_MD="CLAUDE.md"
# Check for runtime verification commands in CLAUDE.md
[ -n "$CLAUDE_MD" ] && grep -E "^(dev-server|verify|e2e|smoke|health):" "$CLAUDE_MD" 2>/dev/null
# Check for verification scripts
ls verify.sh scripts/verify* test-e2e.sh smoke-test.sh 2>/dev/null
# Check for E2E frameworks
ls playwright.config.* cypress.config.* 2>/dev/null
grep -l "playwright\|cypress\|selenium" package.json pyproject.toml 2>/dev/null
# Check for dev server in package.json scripts (proper JSON extraction)
python3 -c "import json; d=json.load(open('package.json')); [print(f'{k}: {v}') for k,v in d.get('scripts',{}).items() if k in ('dev','start','serve')]" 2>/dev/null
Report discovered capabilities in structured format. The calling command uses this output to decide which agents to dispatch, which quality commands to run, and how to adapt the workflow.
## Discovered Capabilities
### Agents Available
| Agent | Source | Description |
|-------|--------|-------------|
| code-reviewer | gh-workflow | Code quality analysis |
| convention-checker | gh-workflow | Git convention validation |
| test-runner | gh-workflow | Quality command execution |
| implementation-planner | gh-workflow | Task breakdown from acceptance criteria |
| custom-agent | project | [extracted from frontmatter] |
### Skills Available
| Skill | Source | Description |
|-------|--------|-------------|
| repo-config | gh-workflow | Dynamic repo configuration |
| runtime-verification | gh-workflow | Runtime smoke/E2E testing |
| suggest-users | gh-workflow | Reviewer/assignee suggestion |
| custom-skill | project | [extracted from frontmatter] |
### Quality Commands
| Command | Purpose | Source |
|---------|---------|--------|
| `ruff check .` | Python linting | CLAUDE.md |
| `pytest` | Python tests | CLAUDE.md |
| `npm run lint` | JavaScript linting | package.json scripts |
### Tech Stack Detected
- Python (pyproject.toml found)
- TypeScript (tsconfig.json found)
### Verification Capabilities
| Capability | Command | Source |
|-----------|---------|--------|
| Dev server | `npm run dev` | package.json scripts.dev |
| E2E tests | `npx playwright test` | playwright.config.ts detected |
| Health check | `curl localhost:3000/health` | CLAUDE.md |
### Recommended Workflow
Based on capabilities:
1. Use `code-reviewer` agent for code analysis
2. Use `convention-checker` for Git validation
3. Run `ruff check .` then `pytest` for quality
4. Invoke `lint` skill if project-specific
Before implementation:
1. Invoke capability-discovery skill
2. Note available agents for later review phases
3. Note quality commands for Phase 6
4. Store tech stack for appropriate tooling
Before PR creation:
1. Invoke capability-discovery skill
2. Extract LINT_CMD, TEST_CMD, TYPECHECK_CMD for Phase 3
3. Note available agents for review dispatch
Before detailed review:
1. Check for review-specific agents (code-reviewer, convention-checker)
2. Check for quality skills (lint, test)
3. Plan review facets based on available capabilities
Before addressing feedback:
1. Invoke capability-discovery skill
2. Extract quality commands for Phase 5 verification
3. Note available agents for Phase 6 code review
Before post-resolution verification:
1. Invoke capability-discovery skill
2. Extract LINT_CMD, TEST_CMD, TYPECHECK_CMD for Phase 5
3. If skill fails, fall back to tech-stack detection table
When capabilities are not found:
| Missing Capability | Fallback |
|---|---|
| No custom agents | Use built-in review checklist |
| No lint skill | Detect from tech stack |
| No CLAUDE.md commands | Use standard tools for detected stack |
| No tech stack detected | Ask user for commands |
| No package.json scripts | Fall back to grep-based detection |
This skill is invoked by:
gh-start — Phase 3 (before implementation)gh-pr — Phase 1 Step 1.2 (before PR creation)gh-review — Phase 2 (before code review)gh-address — Phase 2 (before addressing feedback)gh-resolve — Step 2c (quality command discovery for post-resolution verification)Results inform:
Caching note: This skill runs in a forked context. The calling command must store the returned output (agent list, quality commands, tech stack) in its own context for use in later phases. Do not re-invoke this skill within the same command execution.