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Consiliency AI Skills

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Explorez les skills IA publiés de Consiliency et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

30

Étoiles des dépôts des skills indexés

54

Forks du dépôt

30

Moyenne des étoiles par skill indexé

2

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

30 skills

Explorer

GitHub

orchestration

Consiliency

Skills for orchestrating tasks across multiple AI providers and execution environments. Parent skill category containing native-invoke and related delegation patterns.

GitHub

spawn

Consiliency

Skills for spawning external processes - AI coding agents and generic CLI commands in new terminal windows. Parent skill category for agent and terminal spawning.

GitHub

chrome-devtools-debugging

Consiliency

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...

GitHub

stack-analyzer

Consiliency

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.

GitHub

docs-sources

Consiliency

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.

GitHub

supabase-patterns

Consiliency

Generic Supabase best practices for Row Level Security, realtime subscriptions, storage, and edge functions. Framework-agnostic.

GitHub

multi-agent-orchestration

Consiliency

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...

GitHub

docs-navigation

Consiliency

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.

GitHub

security-audit

Consiliency

Detect common security vulnerabilities in code. Covers OWASP patterns, SQL injection, bare excepts, shell injection. Framework-agnostic.

GitHub

codebase-analysis

Consiliency

Patterns and techniques for analyzing brownfield codebases. Use when onboarding to unfamiliar code, preparing for refactoring, conducting architecture reviews, or identifying technical debt.

GitHub

treesitter-patterns

Consiliency

Universal patterns for tree-sitter code parsing. Covers AST visitors, query patterns, and language plugin development. Framework-agnostic.

GitHub

standards-extraction

Consiliency

Extract coding standards and conventions from CONTRIBUTING.md, .editorconfig, linter configs. Use for onboarding and ensuring consistent contributions.

GitHub

baml-integration

Consiliency

Generic BAML patterns for type-safe LLM prompting. Covers schema design, DTO generation, client wrappers, and cross-language codegen. Framework-agnostic.

GitHub

c4-modeling

Consiliency

C4 architectural modeling for documenting software architecture. Use when creating architecture diagrams, planning new systems, communicating with stakeholders, or conducting architecture reviews.

GitHub

library-detection

Consiliency

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.

GitHub

toon-format

Consiliency

TOON (Token-Oriented Object Notation) encoding for LLM-efficient data representation. 30-60% token savings vs JSON for structured data.

GitHub

model-discovery

Consiliency

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...

GitHub

schema-alignment

Consiliency

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.

GitHub

dependency-sync

Consiliency

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.

GitHub

post-impl-docs

Consiliency

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.

GitHub

browser-discovery

Consiliency

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.

GitHub

docs-retrieval

Consiliency

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.

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.