orchestration
Skills for orchestrating tasks across multiple AI providers and execution environments. Parent skill category containing native-invoke and related delegation patterns.
Browse published AI skills maintained by Consiliency. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
30Repository stars across indexed skills
54Repository forks
30Average repository stars per indexed skill
2Repository stars may repeat across skills from the same repository.
Skills for orchestrating tasks across multiple AI providers and execution environments. Parent skill category containing native-invoke and related delegation patterns.
Skills for spawning external processes - AI coding agents and generic CLI commands in new terminal windows. Parent skill category for agent and terminal spawning.
Debug and analyze web applications using Chrome DevTools MCP. Use for console log inspection, network request monitoring, performance analysis, and debugging authenticated sessions. For basic browser automation...
Analyze project stack and recommend skills. Auto-detects frameworks, activates generic ai-dev-kit skills, and optionally scaffolds project-specific skills in the target repo.
Knowledge of documentation platforms and fetching strategies. Use when adding new documentation sources, determining fetch strategy for a docs site, detecting doc frameworks, or configuring the docs registry.
Generic Supabase best practices for Row Level Security, realtime subscriptions, storage, and edge functions. Framework-agnostic.
Orchestrate tasks across multiple AI providers (Claude, OpenAI, Gemini, Cursor, OpenCode, Ollama). Use when delegating tasks to specialized providers, routing based on capabilities, or implementing fallback str...
Navigate hierarchical ai-docs indexes to find documentation. Check local docs FIRST for speed and curated context before web searching. Covers Claude Code, BAML, MCP, and other tracked libraries.
Detect common security vulnerabilities in code. Covers OWASP patterns, SQL injection, bare excepts, shell injection. Framework-agnostic.
Patterns and techniques for analyzing brownfield codebases. Use when onboarding to unfamiliar code, preparing for refactoring, conducting architecture reviews, or identifying technical debt.
Universal patterns for tree-sitter code parsing. Covers AST visitors, query patterns, and language plugin development. Framework-agnostic.
Extract coding standards and conventions from CONTRIBUTING.md, .editorconfig, linter configs. Use for onboarding and ensuring consistent contributions.
Generic BAML patterns for type-safe LLM prompting. Covers schema design, DTO generation, client wrappers, and cross-language codegen. Framework-agnostic.
C4 architectural modeling for documenting software architecture. Use when creating architecture diagrams, planning new systems, communicating with stakeholders, or conducting architecture reviews.
Detect project stack from package manifests (package.json, pyproject.toml, go.mod, Cargo.toml, pubspec.yaml, CMakeLists.txt). Auto-identify frameworks, test tools, and build systems for onboarding.
TOON (Token-Oriented Object Notation) encoding for LLM-efficient data representation. 30-60% token savings vs JSON for structured data.
Fetch current model names from AI providers (Anthropic, OpenAI, Gemini, Ollama), classify them into tiers (fast/default/heavy), and detect new models. Use when needing up-to-date model IDs for API calls or when...
Detect and report drift between database schema and code data models. Works with SQLAlchemy, Django ORM, Prisma, TypeORM, and other ORMs. Generic across any project.
Detect new imports in modified files and auto-install missing dependencies. Works with npm, uv, pip, cargo, go mod, and other package managers. Triggers after code implementation to keep manifests in sync.
Generate test file scaffolds from source analysis with language-appropriate templates.
Update repository documentation after code implementation. Maintains README, CHANGELOG, docs/ folder, and inline docstrings based on changes made. Triggered by lane-executor after task completion.
Browser automation for documentation discovery. Use when curl fails on JS-rendered sites, when detecting available browser tools, or when configuring browser-based documentation collection.
Parse specs to extract IDs, titles, and traceability metadata (repo, path, hash).
Retrieve documentation context from local ai-docs. Check here first when implementing features, debugging errors, or needing library information. Fall back to web search if topic not found locally.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.