### Install Agent Orchestrator from URL Source: https://github.com/mrclrchtr/skills/blob/main/README.md Installs the 'agent-orchestrator' skill directly from its directory path on GitHub. This method allows for installation without cloning the repository locally. ```bash npx skills add https://github.com/mrclrchtr/skills/tree/main/skills/agent-orchestrator ``` -------------------------------- ### Install Agent Orchestrator Skill using npm Source: https://context7.com/mrclrchtr/skills/llms.txt Installs the agent-orchestrator skill from the specified repository or path. Supports installation from a named repository, a direct GitHub URL, or a local checkout. The `--list` flag can be used to see available skills without installing. ```bash npx skills add mrclrchtr/skills --skill agent-orchestrator npx skills add mrclrchtr/skills --list npx skills add https://github.com/mrclrchtr/skills/tree/main/skills/agent-orchestrator npx skills add . --skill agent-orchestrator ``` -------------------------------- ### Install Agent Orchestrator from Local Checkout Source: https://github.com/mrclrchtr/skills/blob/main/README.md Installs the 'agent-orchestrator' skill from a local checkout of the repository. This is useful when working with a local copy of the skills project. ```bash npx skills add . --skill agent-orchestrator ``` -------------------------------- ### Install Agent Orchestrator Skill Source: https://github.com/mrclrchtr/skills/blob/main/README.md Installs the 'agent-orchestrator' skill using the 'skills' CLI from 'vercel-labs/skills'. This command adds the specified skill to your project's available skills. ```bash npx skills add mrclrchtr/skills --skill agent-orchestrator ``` -------------------------------- ### List Available Skills in Repository Source: https://github.com/mrclrchtr/skills/blob/main/README.md Lists all skills available within the 'mrclrchtr/skills' repository without installing them. This is useful for discovering available functionalities before installation. ```bash npx skills add mrclrchtr/skills --list ``` -------------------------------- ### Manage Workflow Plan Phases in YAML Source: https://context7.com/mrclrchtr/skills/llms.txt Tracks the progress of a multi-phase workflow. This YAML structure lists distinct phases of a project, their status (completed, in_progress, pending), and recommends maintaining exactly one step in progress at a time. ```yaml phases: - name: "Audit authentication subsystem" status: completed - name: "Reconcile audit findings" status: completed - name: "Implement token generation cluster" status: in_progress - name: "Review and validate changes" status: pending - name: "Integration testing" status: pending - name: "Deliver completion report" status: pending ``` -------------------------------- ### Decompose Work into Subsystems using YAML Source: https://context7.com/mrclrchtr/skills/llms.txt Splits a complex task into independently auditable subsystems, defining invariants for each. This YAML structure helps in managing complexity by outlining the components and their expected behaviors or properties. ```yaml subsystems: - name: "API Surface" invariants: - All endpoints return consistent error formats - Authentication headers validated on protected routes - Rate limiting applied uniformly - name: "Core Logic" invariants: - Token generation uses cryptographically secure random - Expiration times configurable via environment - Refresh tokens single-use only - name: "Error Handling" invariants: - No sensitive data in error messages - All errors logged with correlation IDs - name: "Tests" invariants: - Coverage above 80% for new code - Integration tests for all auth flows ``` -------------------------------- ### Define Workflow Scope and Success Criteria in YAML Source: https://context7.com/mrclrchtr/skills/llms.txt Defines the mission objectives, constraints, and success criteria for an agent's task. This YAML structure outlines the overall goal, limitations, expected outcomes, and authoritative sources for the task. ```yaml mission: "Migrate user authentication from session-based to JWT tokens" constraints: - Maintain backward compatibility for 30 days - No changes to public API signatures - All existing tests must pass success_criteria: - JWT tokens issued on login - Token refresh endpoint operational - Session fallback available via feature flag authoritative_sources: - docs/auth-spec.md - RFC 7519 (JWT) ``` -------------------------------- ### Agent Template: Auditor Task Description Source: https://context7.com/mrclrchtr/skills/llms.txt Defines the task for an auditor agent, focusing on identifying issues within a specific subsystem without proposing solutions. It outlines the expected output format, including issue title, severity, evidence, and expected vs. actual results. ```markdown # Auditor Task for API Surface Subsystem Task: - Audit the `API Surface` subsystem independently. - Do not propose fixes yet; identify issues only. - If a specialized skill is relevant to the subsystem, invoke it and follow its audit/checklist guidance. Output (bullet list): - issue title - severity: critical/high/medium/low - evidence: repo file + symbol (and line if stable) - deterministic repro (commands/steps) or reasoning for why repro is not needed - expected vs actual - violated invariant (if known) or propose a new invariant # Example Auditor Output - **Missing rate limit on /api/refresh endpoint** - severity: high - evidence: src/routes/auth.ts:validateRefresh (line 142) - repro: `for i in {1..1000}; do curl -X POST /api/refresh; done` - expected: 429 after 100 requests; actual: all 1000 succeed - invariant violated: "Rate limiting applied uniformly" ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.