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Skills IA Documentation

Découvrez les skills Documentation, comparez leurs dépôts et consultez leurs instructions.

Catégories: Documentation

69,073–69,096 sur 83,400

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GitHub

slack-send-message

djalmaaraujo

Send Slack messages and DMs as yourself directly from Claude Code using your browser session credentials. Extracts the target channel or user and message content directly from natural language prompts. Supports...

GitHub

github-issue-creator

ijack-technologies

Create GitHub issues across any repository with proper formatting, labels, and project board assignment. Use when mentions "create issue", "GitHub issue", "open issue", "file issue", "report bug", "feature requ...

GitHub

git-workflow

ijack-technologies

Git branch management, commits, pull requests, and IJACK Roadmap project board integration. Use when creating feature branches, committing code, creating pull requests, managing git workflows, or adding issues...

GitHub

roadmap

nnance

Manage the roadmap for this project. Use this skill to add features, prioritize them, and move them through the workflow stages (Backlog → Designing → In Progress → Review → Completed).

GitHub

implementation-supervisor

nnance

Phased Implementation Supervisor to coordinate coding and code review subagents. Use this skill when the user has an implentation plan file and wants to execute it phase by phase with build verification, testin...

GitHub

create-worktree

nnance

Create git worktrees for new features or bug fixes. Use when the user wants to start a new feature, fix a bug in a separate worktree, create a worktree, or work on something in isolation.

GitHub

milestone

nnance

Create a milestone from roadmap items. A milestone groups features/bugs into a cohesive deliverable with a DESIGN-SPEC.md and phased IMPLEMENTATION.md with detailed tickets.

GitHub

coderabbit

mcart13

Process CodeRabbit AI PR review suggestions from CODERABBIT.md in the TCC repo; triage, validate against code/specs, and implement safe, production-ready fixes.

GitHub

adr

mcart13

Create TCC Architecture Decision Records (ADRs) in docs/ADRs for architecture, data, API, security, infra, or compliance decisions. Use when making or changing significant system behavior, contracts, tenancy/RL...

GitHub

dockerfile-best-practices

obeone

Create and optimize Dockerfiles with BuildKit, multi-stage builds, advanced caching, and security. Use when: (1) Creating new Dockerfile, (2) Optimizing existing Dockerfile, (3) Reducing image size, (4) Improvi...

GitHub

bash-loop

TheGlitchKing

Activates tight action-feedback operating mode. Use for any task requiring shell commands, file operations, iterative problem-solving, debugging, or when the user wants efficient execution without verbose expla...

GitHub

verification

TheGlitchKing

Activates after code changes to suggest or run verification steps. Provides test-after-action patterns for different file types and frameworks.

GitHub

context-preservation

TheGlitchKing

Activates during long sessions or before context compaction. Manages attention markers and ensures critical information survives memory compression.

GitHub

error-recovery

TheGlitchKing

Activates when errors occur during execution. Provides self-correction patterns for immediate error fixing without verbose explanations or apologies.

GitHub

ai-workflow-integration

leobessa

Convert AI fluency into throughput by embedding AI into repeatable workflows with triggers, quality gates, and iteration loops that compound over time.

GitHub

ai-fluency-certification

leobessa

Assess AI fluency proficiency using 5-level certification criteria (A through E) based on demonstrated capabilities across the 4D Framework dimensions.

GitHub

ai-collaboration-modes

leobessa

Select appropriate human-AI collaboration modes: Automation (AI acts independently), Augmentation (AI assists human work), or Agency (AI takes delegated responsibility).

GitHub

ai-fluency-antipatterns

leobessa

Recognize and avoid 15 common AI fluency anti-patterns that undermine effectiveness: over-reliance, prompt magic thinking, verification theater, and more.

GitHub

ai-instruction-design

leobessa

Control AI output through structured specifications: define roles, scope, format, decision rules, and abstraction levels. Prompts become contracts, not requests.

GitHub

ai-4d-framework

leobessa

Apply Anthropic's 4D Framework for AI delegation: Delegation (task selection), Description (instructions), Discernment (verification), and Diligence (iteration).

GitHub

ai-problem-framing

leobessa

Turn vague intent into solvable structures with explicit objectives, constraints, success criteria, and clear human vs AI responsibility boundaries.

GitHub

ai-system-governance

leobessa

Scale AI fluency beyond individuals through standards, guardrails, audit trails, and organizational policies that maintain quality and accountability.

GitHub

ai-evaluation-verification

leobessa

Retain epistemic control by validating AI outputs against logic, first principles, and reality. Detect confident nonsense, false completeness, and category errors.

GitHub

ai-system-literacy

leobessa

Build accurate mental models of AI behavior: understand context windows, probabilistic generation, hallucination causes, and predict failure modes before they occur.

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.

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