{"slug":"a5c-ai-process-builder","name":"process-builder","description":"Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.","long_description":"---\nname: process-builder\ndescription: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.\n---\n\n# Process Builder\n\nCreate new process definitions for the babysitter event-sourced orchestration framework.\n\n## Quick Reference\n\n```\nProcesses live in: library/\n├── methodologies/          # Reusable development approaches (TDD, BDD, Scrum, etc.)\n│   └── [name]/\n│       ├── README.md       # Documentation\n│       ├── [name].js       # Main process\n│       └── examples/       # Sample inputs\n│\n└── specializations/        # Domain-specific processes\n    ├── [category]/         # Engineering specializations (direct children)\n    │   └── [process].js\n    └── domains/\n        └── [domain]/       # Business, Science, Social Sciences\n            └── [spec]/\n                ├── README.md\n                ├── references.md\n                ├── processes-backlog.md\n                └── [process].js\n```\n\n## 3-Phase Workflow\n\n### Phase 1: Research & Documentation\n\nCreate foundational documentation:\n\n```bash\n# Check existing specializations\nls library/specializations/\n\n# Check methodologies\nls library/methodologies/\n```\n\n**Create:**\n- `README.md` - Overview, roles, goals, use cases, common flows\n- `references.md` - External references, best practices, links to sources\n\n### Phase 2: Identify Processes\n\nCreate `processes-backlog.md` with identified processes:\n\n```markdown\n# Processes Backlog - [Specialization Name]\n\n## Identified Processes\n\n- [ ] **process-name** - Short description of what this process accomplishes\n  - Reference: [Link to methodology or standard]\n  - Inputs: list key inputs\n  - Outputs: list key outputs\n\n- [ ] **another-process** - Description\n  ...\n```\n\n### Phase 3: Create Process Files\n\nCreate `.js` process files following SDK patterns (see below).\n\n---\n\n## Process File Structure\n\nEvery process file follows this pattern:\n\n```javascript\n/**\n * @process [category]/[process-name]\n * @description Clear description of what the process accomplishes end-to-end\n * @inputs { inputName: type, optionalInput?: type }\n * @outputs { success: boolean, outputName: type, artifacts: array }\n *\n * @graph\n *   domains: [domain:software-engineering]\n *   skillAreas: [skill-area:your-skill-area]\n *   topics: [topic:your-topic]\n *   roles: [role:your-role]\n *   workflows: [workflow:your-workflow]\n *\n * @example\n * const result = await orchestrate('[category]/[process-name]', {\n *   inputName: 'value',\n *   optionalInput: 'optional-value'\n * });\n *\n * @references\n * - Book: \"Relevant Book Title\" by Author\n * - Article: [Title](https://link)\n * - Standard: ISO/IEEE reference\n */\n\nimport { defineTask } from '@a5c-ai/babysitter-sdk';\n\n/**\n * [Process Name] Process\n *\n * Methodology: Brief description of the approach\n *\n * Phases:\n * 1. Phase Name - What happens\n * 2. Phase Name - What happens\n * ...\n *\n * Benefits:\n * - Benefit 1\n * - Benefit 2\n *\n * @param {Object} inputs - Process inputs\n * @param {string} inputs.inputName - Description of input\n * @param {Object} ctx - Process context (see SDK)\n * @returns {Promise<Object>} Process result\n */\nexport async function process(inputs, ctx) {\n  const {\n    inputName,\n    optionalInput = 'default-value',\n    // ... destructure with defaults\n  } = inputs;\n\n  const artifacts = [];\n\n  // ============================================================================\n  // PHASE 1: [PHASE NAME]\n  // ============================================================================\n\n  ctx.log?.('info', 'Starting Phase 1...');\n\n  const phase1Result = await ctx.task(someTask, {\n    // task inputs\n  });\n\n  artifacts.push(...(phase1Result.artifacts || []));\n\n  // Breakpoint for human review (when needed)\n  await ctx.breakpoint({\n    question: 'Review the results and approve to continue?',\n    title: 'Phase 1 Review',\n    context: {\n      runId: ctx.runId,\n      files: [\n        { path: 'artifacts/output.md', format: 'markdown', label: 'Output' }\n      ]\n    }\n  });\n\n  // ============================================================================\n  // PHASE 2: [PHASE NAME] - Parallel Execution Example\n  // ============================================================================\n\n  const [result1, result2, result3] = await ctx.parallel.all([\n    () => ctx.task(task1, { /* args */ }),\n    () => ctx.task(task2, { /* args */ }),\n    () => ctx.task(task3, { /* args */ })\n  ]);\n\n  // ============================================================================\n  // PHASE 3: [ITERATION EXAMPLE]\n  // ============================================================================\n\n  let iteration = 0;\n  let targetMet = false;\n\n  while (!targetMet && iteration < maxIterations) {\n    iteration++;\n\n    const iterResult = await ctx.task(iterativeTask, {\n      iteration,\n      previousResults: /* ... */\n    });\n\n    targetMet = iterResult.meetsTarget;\n\n    if (!targetMet && iteration % 3 === 0) {\n      // Periodic checkpoint\n      await ctx.breakpoint({\n        question: `Iteration ${iteration}: Target not met. Continue?`,\n        title: 'Progress Checkpoint',\n        context: { /* ... */ }\n      });\n    }\n  }\n\n  // ============================================================================\n  // COMPLETION\n  // ============================================================================\n\n  return {\n    success: targetMet,\n    iterations: iteration,\n    artifacts,\n    // ... other outputs matching @outputs\n  };\n}\n\n// ============================================================================\n// TASK DEFINITIONS\n// ============================================================================\n\n/**\n * Task: [Task Name]\n * Purpose: What this task accomplishes\n */\nconst someTask = defineTask({\n  name: 'task-name',\n  description: 'What this task does',\n\n  // Task definition - executed externally by orchestrator\n  // This returns a TaskDef that describes HOW to run the task\n\n  inputs: {\n    inputName: { type: 'string', required: true },\n    optionalInput: { type: 'number', default: 10 }\n  },\n\n  outputs: {\n    result: { type: 'object' },\n    artifacts: { type: 'array' }\n  },\n\n  async run(inputs, taskCtx) {\n    const effectId = taskCtx.effectId;\n\n    return {\n      kind: 'node',  // or 'agent', 'skill', 'shell', 'breakpoint'\n      title: `Task: ${inputs.inputName}`,\n      node: {\n        entry: 'scripts/task-runner.js',\n        args: ['--input', inputs.inputName, '--effect-id', effectId]\n      },\n      io: {\n        inputJsonPath: `tasks/${effectId}/input.json`,\n        outputJsonPath: `tasks/${effectId}/result.json`\n      },\n      labels: ['category', 'subcategory']\n    };\n  }\n});\n```\n\n---\n\n## SDK Context API Reference\n\nThe `ctx` object provides these intrinsics:\n\n| Method | Purpose | Behavior |\n|--------|---------|----------|\n| `ctx.task(taskDef, args, opts?)` | Execute a task | Returns result or throws typed exception |\n| `ctx.breakpoint(payload)` | Human approval gate | Pauses until approved via human |\n| `ctx.sleepUntil(isoOrEpochMs)` | Time-based gate | Pauses until specified time |\n| `ctx.parallel.all([...thunks])` | Parallel execution | Runs independent tasks concurrently |\n| `ctx.parallel.map(items, fn)` | Parallel map | Maps items through task function |\n| `ctx.now()` | Deterministic time | Returns current Date (or provided time) |\n| `ctx.log?.(level, msg, data?)` | Logging | Optional logging helper |\n| `ctx.runId` | Run identifier | Current run's unique ID |\n\n### Task Kinds\n\n| Kind | Use Case | Executor |\n|------|----------|----------|\n| `node` | Scripts, builds, tests | Node.js process |\n| `agent` | LLM-powered analysis, generation | Claude Code agent |\n| `skill` | Claude Code skills | Skill invocation |\n| `shell` | System commands | Shell execution |\n| `breakpoint` | Human approval | Breakpoints UI/service |\n| `sleep` | Time gates | Orchestrator scheduling |\n| `orchestrator_task` | Internal orchestrator work | Self-routed |\n\n---\n\n## Breakpoint Patterns\n\n### Basic Approval Gate\n\n```javascript\nawait ctx.breakpoint({\n  question: 'Approve to continue?',\n  title: 'Checkpoint',\n  context: { runId: ctx.runId }\n});\n```\n\n### With File References (for UI display)\n\n```javascript\nawait ctx.breakpoint({\n  question: 'Review the generated specification. Does it meet requirements?',\n  title: 'Specification Review',\n  context: {\n    runId: ctx.runId,\n    files: [\n      { path: 'artifacts/spec.md', format: 'markdown', label: 'Specification' },\n      { path: 'artifacts/spec.json', format: 'json', label: 'JSON Schema' },\n      { path: 'src/implementation.ts', format: 'code', language: 'typescript', label: 'Implementation' }\n    ]\n  }\n});\n```\n\n### Conditional Breakpoint\n\n```javascript\nif (qualityScore < targetScore) {\n  await ctx.breakpoint({\n    question: `Quality score ${qualityScore} is below target ${targetScore}. Continue iterating or accept current result?`,\n    title: 'Quality Gate',\n    context: {\n      runId: ctx.runId,\n      data: { qualityScore, targetScore, iteration }\n    }\n  });\n}\n```\n\n---\n\n## Common Patterns\n\n### Quality Convergence Loop\n\n```javascript\nlet quality = 0;\nlet iteration = 0;\nconst targetQuality = inputs.targetQuality || 85;\nconst maxIterations = inputs.maxIterations || 10;\n\nwhile (quality < targetQuality && iteration < maxIterations) {\n  iteration++;\n  ctx.log?.('info', `Iteration ${iteration}/${maxIterations}`);\n\n  // Execute improvement tasks\n  const improvement = await ctx.task(improveTask, { iteration });\n\n  // Score quality (parallel checks)\n  const [coverage, lint, security, tests] = await ctx.parallel.all([\n    () => ctx.task(coverageTask, {}),\n    () => ctx.task(lintTask, {}),\n    () => ctx.task(securityTask, {}),\n    () => ctx.task(runTestsTask, {})\n  ]);\n\n  // Agent scores overall quality\n  const score = await ctx.task(agentScoringTask, {\n    coverage, lint, security, tests, iteration\n  });\n\n  quality = score.overall;\n  ctx.log?.('info', `Quality: ${quality}/${targetQuality}`);\n\n  if (quality >= targetQuality) {\n    ctx.log?.('info', 'Quality target achieved!');\n    break;\n  }\n}\n\nreturn {\n  success: quality >= targetQuality,\n  quality,\n  iterations: iteration\n};\n```\n\n### Phased Workflow with Reviews\n\n```javascript\n// Phase 1: Research\nconst research = await ctx.task(researchTask, { topic: inputs.topic });\n\nawait ctx.breakpoint({\n  question: 'Review research findings before proceeding to planning.',\n  title: 'Research Review',\n  context: { runId: ctx.runId }\n});\n\n// Phase 2: Planning\nconst plan = await ctx.task(planningTask, { research });\n\nawait ctx.breakpoint({\n  question: 'Review plan before implementation.',\n  title: 'Plan Review',\n  context: { runId: ctx.runId }\n});\n\n// Phase 3: Implementation\nconst implementation = await ctx.task(implementTask, { plan });\n\n// Phase 4: Verification\nconst verification = await ctx.task(verifyTask, { implementation, plan });\n\nawait ctx.breakpoint({\n  question: 'Final review before completion.',\n  title: 'Final Approval',\n  context: { runId: ctx.runId }\n});\n\nreturn { success: verification.passed, plan, implementation };\n```\n\n### Parallel Fan-out with Aggregation\n\n```javascript\n// Fan out to multiple parallel analyses\nconst analyses = await ctx.parallel.map(components, component =>\n  ctx.task(analyzeTask, { component }, { label: `analyze:${component.name}` })\n);\n\n// Aggregate results\nconst aggregated = await ctx.task(aggregateTask, { analyses });\n\nreturn { analyses, summary: aggregated.summary };\n```\n\n---\n\n## Testing Processes\n\n### CLI Commands\n\n```bash\n# Create a new run\nbabysitter run:create \\\n  --process-id methodologies/my-process \\\n  --entry ./library/methodologies/my-process.js#process \\\n  --inputs ./test-inputs.json \\\n  --json\n\n# Iterate the run\nbabysitter run:iterate .a5c/runs/<runId> --json\n\n# List pending tasks\nbabysitter task:list .a5c/runs/<runId> --pending --json\n\n# Post a task result\nbabysitter task:post .a5c/runs/<runId> <effectId> \\\n  --status ok \\\n  --value ./result.json\n\n# Check run status\nbabysitter ru","tagline":"Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. 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Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"a5c-ai-process-builder\",\"task\":\"Install process-builder\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"process-builder\" as a Claude Code skill from https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/process-builder. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"a5c-ai-process-builder\",\"task\":\"Install process-builder\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"process-builder\" from https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/process-builder into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"a5c-ai-process-builder\",\"task\":\"Install process-builder\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/a5c-ai-process-builder/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/a5c-ai-process-builder"},"trust":{"score":79,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"1.8K GitHub stars","repoActivity":"1.8K stars, 103 forks","lastPushed":"5d since push","license":"MIT","repository":"https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/process-builder","install":"npx skills add a5c-ai/babysitter --skill process-builder","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":83,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":79,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"5d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No major risk signals from current metadata","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"],"agent_contract":{"task_input":"Use process-builder in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 79/100 Strong shortlist","Audit: 83/100 Needs review","Safety: 51/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"a5c-ai-process-builder (process-builder)","install_command":"npx skills add a5c-ai/babysitter --skill process-builder","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"a5c-ai-process-builder","task":"Use process-builder in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/a5c-ai-process-builder","api":"https://www.openagentskill.com/api/agent/skills/a5c-ai-process-builder","audit":"https://www.openagentskill.com/skills/a5c-ai-process-builder/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=a5c-ai-process-builder&task=Use%20process-builder%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20process-builder%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20process-builder%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/a5c-ai-process-builder/install","manifest":"https://www.openagentskill.com/api/registry/manifest/a5c-ai-process-builder"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"coding-agents","title":"Coding agents"},{"slug":"rag-knowledge","title":"RAG and knowledge"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add a5c-ai/babysitter --skill process-builder","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":1759,"starsLabel":"1.8K","forks":103,"license":"MIT","qualityScore":79,"trustScore":79,"auditScore":83},"maintenance":{"status":"fresh","label":"5d since push","daysSincePush":5,"lastPushedAt":"2026-09-01T07:13:40+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access","Needs review"]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":83,"risk_level":"needs_review","risk_label":"Needs review","quality_score":79,"trust_score":79,"maintenance_score":100,"security_score":80,"install_score":92,"warnings":["Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"quality_signals":{"model":"v2","star_score":22.72,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"}],"install":"npx skills add a5c-ai/babysitter --skill process-builder","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add a5c-ai-process-builder","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"process-builder\" agent skill from https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/process-builder. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"a5c-ai-process-builder\",\"task\":\"Install process-builder\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"process-builder\" as a Claude Code skill from https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/process-builder. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"a5c-ai-process-builder\",\"task\":\"Install process-builder\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"process-builder\" from https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/process-builder into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"a5c-ai-process-builder\",\"task\":\"Install process-builder\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/process-builder","github_repo":"a5c-ai/babysitter","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/a5c-ai-process-builder","repository":"https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/process-builder","api":"/api/agent/skills/a5c-ai-process-builder","install_api":"/api/skills/a5c-ai-process-builder/install"},"meta":{"created_at":"2026-09-02T04:42:53.479693+00:00","updated_at":"2026-09-02T04:42:53.600662+00:00","agent_friendly":true}}