orchestrator-directives-skill
Cost-first delegation patterns and decision frameworks for multi-AI coordination
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Cost-first delegation patterns and decision frameworks for multi-AI coordination
CodexSpawner with full event tracking for code generation and implementation
GitHub CLI (gh) operations and CopilotSpawner with full event tracking
HtmlGraph workflow skill combining session tracking, orchestration, and parallel coordination. Activated automatically at session start. Enforces delegation patterns, manages multi-agent workflows, ensures prop...
Spawner selection, cost optimization, and HeadlessSpawner patterns for coordinating multiple AI models (Codex, Gemini, Copilot, Claude).
Orchestrate parallel agent workflows using HtmlGraph's ParallelWorkflow. Activate when planning multi-agent work, using Task tool for sub-agents, or coordinating concurrent feature implementation.
HtmlGraph session tracking and work continuity for Codex. Ensures proper activity attribution, feature awareness, and continuous work tracking across sessions.
Code hygiene, quality gates, and pre-commit workflows. Use for linting, type checking, testing, and fixing errors.
Use HtmlGraph analytics to make smart work prioritization decisions. Activate when recommending work, finding bottlenecks, assessing risks, or analyzing project impact.
GeminiSpawner with full event tracking for exploration and large-context research
HtmlGraph workflow skill combining session tracking, orchestration, and parallel coordination. Activated automatically at session start. Enforces delegation patterns, manages multi-agent workflows, ensures prop...
Generate and edit images using AI models via OpenRouter. Supports Nano Banana Pro (Gemini 3 Pro Image), FLUX, and other image generation models.
Create text-based diagrams using Mermaid syntax. Perfect for version-controlled diagrams that render in GitHub, documentation sites, and markdown files.
Generate publication-quality technical diagrams using Nano Banana Pro (Gemini 3 Pro Image) with AI-powered quality review. Smart iteration only regenerates when quality is below threshold.
Review a mixed working tree and produce (and optionally execute) a small, logically grouped sequence of incremental git commits.
Capture a YouTube video transcript as raw material using `ytt`, storing it in the raw/ directory with minimal metadata for later distillation.
Capture a web page as raw material (extracted text/Markdown) with metadata, storing it in the raw/ directory for later distillation.
Transform raw captured content into distilled knowledge by extracting topics (outline), summary, key points, principles, patterns, entities, and quotes, storing the result in the distilled/ directory.
Use when contributing skills back to the community. Follow git workflow: sync upstream → create branch → develop skill → test with writing-skills → commit → push → PR. One skill per PR.
Use when completing tasks or major features. Know when and how to request reviews. Provides git commit range to code-reviewer agent.
Use to validate process documentation. Apply TDD to skill writing: RED (run without skill, document failures) → GREEN (write skill) → REFACTOR (close loopholes). Test under pressure: time constraints, sunk cost...
Vercel deployment patterns and best practices. Use when deploying frontend applications, configuring edge functions, setting up preview deployments, or optimizing Next.js applications.
Google Cloud Platform architecture patterns and best practices. Use when designing, deploying, or reviewing GCP infrastructure including GKE, Cloud Run, Cloud Functions, BigQuery, and IAM.
Use when multiple independent tasks can run simultaneously. Enables efficient parallel work execution with specialized agents.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.