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Full-power feature implementation with parallel subagents. Use when implementing, building, or creating features.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Full-power feature implementation with parallel subagents. Use when implementing, building, or creating features.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
Process documents with the Nutrient DWS API. Use this skill when the user wants to convert documents (PDF, DOCX, XLSX, PPTX, HTML, images), extract text or tables from PDFs, OCR scanned documents, redact sensitive information (PII, SSN, emails, credit cards), add watermarks, digitally sign PDFs, fill PDF forms, or check API credit usage. Activates on keywords: PDF, document, convert, extract, OCR, redact, watermark, sign, merge, compress, form fill, document processing.
When the user wants to optimize images for search engines and performance. Also use when the user mentions "image SEO," "alt text," "image captions," "figcaption," "image optimization," "WebP," "lazy loading," "LCP," "image sitemap," "responsive images," "srcset," "image format," or "hero image optimization."
Diagnose and fix bugs with root-cause analysis and verification. Use when you have a concrete issue report, failing behavior, runtime error, or test regression that should be resolved safely. For ambiguous, high-risk, or broad-scope issues, stop and route to write-plan first.
Stores decisions and patterns in knowledge graph. Use when saving patterns, remembering outcomes, or recording decisions.
Unified decision tree for web research and competitive monitoring. Auto-selects WebFetch, Tavily, or agent-browser based on target site characteristics and available API keys. Includes competitor page tracking, snapshot diffing, and change alerting. Use when researching web content, scraping, extracting raw markdown, capturing documentation, or monitoring competitor changes.
Never test mock behavior. Never add test-only methods to production classes. Understand dependencies before mocking. Language-agnostic principles with TypeScript/Jest and Python/pytest examples.
SOC 직업 분류 기준
| name | implement |
| license | MIT |
| compatibility | Claude Code 2.1.72+. Requires memory MCP server, context7 MCP server, network access. |
| description | Full-power feature implementation with parallel subagents. Use when implementing, building, or creating features. |
| argument-hint | [feature-description] |
| context | fork |
| version | 2.4.0 |
| author | OrchestKit |
| tags | ["implementation","feature","full-stack","parallel-agents","reflection","worktree"] |
| user-invocable | true |
| allowed-tools | ["AskUserQuestion","Bash","Read","Write","Edit","Grep","Glob","Task","TaskCreate","TaskUpdate","TaskOutput","TaskStop","ToolSearch","CronCreate","CronDelete","mcp__context7__query_docs","mcp__memory__search_nodes"] |
| skills | ["api-design","react-server-components-framework","testing-unit","testing-e2e","testing-integration","explore","verify","memory","scope-appropriate-architecture","chain-patterns"] |
| complexity | medium |
| model | sonnet |
| hooks | {"PreToolUse":[{"matcher":"Write","command":"${CLAUDE_PLUGIN_ROOT}/hooks/bin/run-hook.mjs skill/project-convention-loader","once":true},{"matcher":"Agent","command":"${CLAUDE_PLUGIN_ROOT}/hooks/bin/run-hook.mjs skill/implement-standards-loader","once":true}],"PostToolUse":[{"matcher":"Write|Edit","command":"${CLAUDE_PLUGIN_ROOT}/hooks/bin/run-hook.mjs skill/pattern-consistency-enforcer"}]} |
| metadata | {"category":"workflow-automation","mcp-server":"memory, context7"} |
Parallel subagent execution for feature implementation with scope control and reflection.
/ork:implement user authentication
/ork:implement real-time notifications
/ork:implement dashboard analytics
FEATURE_DESC = "$ARGUMENTS" # Full argument string, e.g., "user authentication"
# $ARGUMENTS[0] is the first token, $ARGUMENTS[1] second, etc. (CC 2.1.59)
Run BEFORE any other step. Detect available MCP servers and check for resumable state.
# Probe MCPs (parallel — all in ONE message):
ToolSearch(query="select:mcp__memory__search_nodes")
ToolSearch(query="select:mcp__context7__resolve-library-id")
Write(".claude/chain/capabilities.json", JSON.stringify({
"memory": <true if found>,
"context7": <true if found>,
"timestamp": now()
}))
# Resume check:
Read(".claude/chain/state.json")
# If exists and skill == "implement":
# Read last handoff (e.g., 04-architecture.json)
# Skip to current_phase
# "Resuming from Phase {N} — architecture decided in previous session"
# If not: write initial state
Write(".claude/chain/state.json", JSON.stringify({
"skill": "implement", "feature": FEATURE_DESC,
"current_phase": 1, "completed_phases": [],
"capabilities": capabilities
}))
Load:
Read("${CLAUDE_PLUGIN_ROOT}/skills/chain-patterns/references/checkpoint-resume.md")
BEFORE any work, detect the project tier. This becomes the complexity ceiling for all patterns.
Scan codebase for signals: README keywords (take-home, interview), .github/workflows/, Dockerfile, terraform/, k8s/, CONTRIBUTING.md.
| Signal | Tier | Architecture Ceiling |
|---|---|---|
| README says "take-home", time limit | 1. Interview (load ${CLAUDE_SKILL_DIR}/references/interview-mode.md) | Flat files, 8-15 files |
| < 10 files, no CI | 2. Hackathon | Single file if possible |
.github/workflows/, managed DB | 3. MVP | MVC monolith |
| Module boundaries, Redis, queues | 4. Growth | Modular monolith, DI |
| K8s/Terraform, monorepo | 5. Enterprise | Hexagonal/DDD |
| CONTRIBUTING.md, LICENSE | 6. Open Source | Minimal API, exhaustive tests |
If confidence is low, use AskUserQuestion to ask the user. Pass detected tier to ALL downstream agents — see scope-appropriate-architecture.
| Tier | Phases | Max Agents |
|---|---|---|
| 1. Interview | 1, 5 only | 2 |
| 2. Hackathon | 5 only | 1 |
| 3. MVP | 1-6, 9 | 3-4 |
| 4-5. Growth/Enterprise | All 10 | 5-8 |
| 6. Open Source | 1-7, 9-10 | 3-4 |
Use AskUserQuestion to verify scope (full-stack / backend-only / frontend-only / prototype) and constraints.
CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 and complexity >= 2.5ORCHESTKIT_FORCE_TASK_TOOL=1 to overrideRead("${CLAUDE_SKILL_DIR}/references/orchestration-modes.md")For features touching 5+ files, offer worktree isolation to prevent conflicts with the main working tree:
AskUserQuestion(questions=[{
"question": "Isolate this feature in a git worktree?",
"header": "Isolation",
"options": [
{"label": "Yes — worktree (Recommended)", "description": "Creates isolated branch via EnterWorktree, merges back on completion", "markdown": "```\nWorktree Isolation\n──────────────────\nmain ─────────────────────────────▶\n \\ /\n └─ feat-{slug} (worktree) ───┘\n ├── Isolated directory\n ├── Own branch + index\n └── Auto-merge on completion\n\nSafe: main stays untouched until done\n```"},
{"label": "No — work in-place", "description": "Edit files directly in current branch", "markdown": "```\nIn-Place Editing\n────────────────\nmain ──[edit]──[edit]──[edit]───▶\n ▲ ▲ ▲\n │ │ │\n direct modifications\n\nFast: no branch overhead\nRisk: changes visible immediately\n```"},
{"label": "Plan first", "description": "Research and design in plan mode before writing code", "markdown": "```\nPlan Mode Flow\n──────────────\n 1. EnterPlanMode($ARGUMENTS)\n 2. Read existing code\n 3. Research patterns\n 4. Design approach\n 5. ExitPlanMode → plan\n 6. User approves plan\n 7. Execute implementation\n\n Best for: Large features,\n unfamiliar codebases,\n architectural decisions\n```"}
],
"multiSelect": false
}])
If 'Plan first' selected: Call EnterPlanMode("Research and design: $ARGUMENTS"), perform research using Read/Grep/Glob only, then ExitPlanMode with the plan for user approval before proceeding.
If worktree selected:
EnterWorktree(name: "feat-{slug}") to create isolated branchgit checkout {original-branch} && git merge feat-{slug}AskUserQuestionLoad worktree details: Read("${CLAUDE_SKILL_DIR}/references/worktree-isolation-mode.md")
Create tasks with TaskCreate BEFORE doing any work. Each phase gets a subtask. Update status with TaskUpdate as you progress.
| Phase | Activities | Agents |
|---|---|---|
| 1. Discovery | Research best practices, Context7 docs, break into tasks | — |
| 2. Micro-Planning | Detailed plan per task (load ${CLAUDE_SKILL_DIR}/references/micro-planning-guide.md) | — |
| 3. Worktree | Isolate in git worktree for 5+ file features (load ${CLAUDE_SKILL_DIR}/references/worktree-workflow.md) | — |
| 4. Architecture | 4 parallel background agents | workflow-architect, backend-system-architect, frontend-ui-developer, llm-integrator |
| 5. Implementation + Tests | Parallel agents, single-pass artifacts with mandatory tests | backend-system-architect, frontend-ui-developer, llm-integrator, test-generator |
| 6. Integration Verification | Code review + real-service integration tests | backend, frontend, code-quality-reviewer, security-auditor |
| 7. Scope Creep | Compare planned vs actual (load ${CLAUDE_SKILL_DIR}/references/scope-creep-detection.md) | workflow-architect |
| 8. E2E Verification | Browser + API E2E testing (load ${CLAUDE_SKILL_DIR}/references/e2e-verification.md) | — |
| 9. Documentation | Save decisions to memory graph | — |
| 10. Reflection | Lessons learned, estimation accuracy | workflow-architect |
Load agent prompts: Read("${CLAUDE_SKILL_DIR}/references/agent-phases.md")
For Agent Teams mode: Read("${CLAUDE_SKILL_DIR}/references/agent-teams-phases.md")
Write handoff JSON after major phases. See chain-patterns skill for schema.
| After Phase | Handoff File | Key Outputs |
|---|---|---|
| 1. Discovery | 01-discovery.json | Best practices, library docs, task breakdown |
| 2. Micro-Plan | 02-plan.json | File map, acceptance criteria per task |
| 4. Architecture | 04-architecture.json | Decisions, patterns chosen, agent results |
| 5. Implementation | 05-implementation.json | Files created/modified, test results |
| 7. Scope Creep | 07-scope.json | Planned vs actual, PR split recommendation |
Phase 5 agents SHOULD use isolation: "worktree" to prevent file conflicts:
Agent(subagent_type="backend-system-architect",
prompt="Implement backend: {feature}. Architecture: {from 04-architecture.json}",
isolation="worktree", run_in_background=true)
Agent(subagent_type="frontend-ui-developer",
prompt="Implement frontend: {feature}...",
isolation="worktree", run_in_background=true)
Agent(subagent_type="test-generator",
prompt="Generate tests: {feature}...",
isolation="worktree", run_in_background=true)
After final PR, schedule health monitoring:
# Guard: Skip cron in headless/CI (CLAUDE_CODE_DISABLE_CRON)
# if env CLAUDE_CODE_DISABLE_CRON is set, run a single check instead
CronCreate(
schedule="0 */6 * * *",
prompt="Health check for {feature} in PR #{pr}:
gh pr checks {pr} --repo {repo}.
If healthy 24h → CronDelete. If errors → alert."
)
if capabilities.context7:
mcp__context7__resolve-library-id({ libraryName: "next-auth" })
mcp__context7__query-docs({ libraryId: "...", query: "..." })
else:
WebFetch("https://docs.example.com/api") # T1 fallback
If working on a GitHub issue, run the Start Work ceremony from issue-progress-tracking and post progress comments after major phases.
Maintain checkpoints after each task. Load triggers: Read("${CLAUDE_SKILL_DIR}/references/feedback-loop.md")
Phase 5 test-generator MUST produce tests matching the change type:
| Change Type | Required Tests | Testing Rules |
|---|---|---|
| API endpoint | Unit + Integration + Contract | integration-api, verification-contract, mocking-msw |
| DB schema/migration | Migration + Integration | integration-database, data-seeding-cleanup |
| UI component | Unit + Snapshot + A11y | unit-aaa-pattern, integration-component, a11y-testing, e2e-playwright |
| Business logic | Unit + Property-based | unit-aaa-pattern, pytest-execution, verification-techniques |
| LLM/AI feature | Unit + Eval | llm-evaluation, llm-mocking |
| Full-stack feature | All of the above | All matching rules |
Before running integration tests, detect infrastructure:
# Auto-detect real service testing capability (PARALLEL)
Glob(pattern="**/docker-compose*.yml")
Glob(pattern="**/testcontainers*")
Grep(pattern="testcontainers|docker-compose", glob="requirements*.txt")
Grep(pattern="testcontainers|docker-compose", glob="package.json")
If detected: run integration tests against real services, not just mocks. Reference testing-integration rules: integration-database, integration-api, data-seeding-cleanup.
Do NOT proceed to Phase 9 (Documentation) if test-generator produced 0 tests. Return to Phase 5 and generate tests for the implemented code.
run_in_background: true, launch all agents in ONE messageTeamDelete() after completion; press Ctrl+F twice as manual fallback. Note: /clear (CC 2.1.72+) preserves background agentsork:explore: Explore codebase before implementingork:verify: Verify implementations work correctlyork:issue-progress-tracking: Auto-updates GitHub issues with commit progressLoad on demand with Read("${CLAUDE_SKILL_DIR}/references/<file>"):
| File | Content |
|---|---|
agent-phases.md | Agent prompts and spawn templates |
agent-teams-phases.md | Agent Teams mode phases |
interview-mode.md | Interview/take-home constraints |
orchestration-modes.md | Task tool vs Agent Teams selection |
feedback-loop.md | Checkpoint triggers and actions |
cc-enhancements.md | CC version-specific features |
agent-teams-full-stack.md | Full-stack pipeline for teams |
team-worktree-setup.md | Team worktree configuration |
micro-planning-guide.md | Detailed micro-planning guide |
scope-creep-detection.md | Planned vs actual comparison |
worktree-workflow.md | Git worktree workflow |
e2e-verification.md | Browser + API E2E testing guide |
worktree-isolation-mode.md | Worktree isolation details |