GitHub
verification
Activates after code changes to suggest or run verification steps. Provides test-after-action patterns for different file types and frameworks.
Skills IA Développement
Découvrez les skills Développement, comparez leurs dépôts et consultez leurs instructions.
Catégories: Développement
Développement Effacer les filtres
Explorer
GitHub
context-preservation
Activates during long sessions or before context compaction. Manages attention markers and ensures critical information survives memory compression.
GitHub
error-recovery
Activates when errors occur during execution. Provides self-correction patterns for immediate error fixing without verbose explanations or apologies.
GitHub
ai-workflow-integration
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
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
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
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
Control AI output through structured specifications: define roles, scope, format, decision rules, and abstraction levels. Prompts become contracts, not requests.
GitHub
ai-4d-framework
Apply Anthropic's 4D Framework for AI delegation: Delegation (task selection), Description (instructions), Discernment (verification), and Diligence (iteration).
GitHub
ai-problem-framing
Turn vague intent into solvable structures with explicit objectives, constraints, success criteria, and clear human vs AI responsibility boundaries.
GitHub
ai-system-governance
Scale AI fluency beyond individuals through standards, guardrails, audit trails, and organizational policies that maintain quality and accountability.
GitHub
ai-evaluation-verification
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
Build accurate mental models of AI behavior: understand context windows, probabilistic generation, hallucination causes, and predict failure modes before they occur.
GitHub
ai-reasoning-scaffolds
Use AI as a thinking partner by injecting checklists, reasoning trees, critique loops, and stepwise logic. Delegate sub-reasoning without losing coherence.
GitHub
ai-strategic-fluency
Use AI to reshape strategic decisions, not just execution. Identify where AI creates competitive advantage, shifts constraints, and enables new business models.
GitHub
ai-cognitive-readiness
Develop pre-fluency cognitive habits: recognize when not to use AI, separate thinking from generation, resist automation bias and output authority.
GitHub
critical-reviewer
Critical code review methodology. Use when reviewing code, PRs, or changes to enforce rigorous review standards.
GitHub
python-standards
Python 3.12+ coding standards and conventions (source of truth). Use when working on Python projects, implementing features, or reviewing code for standards compliance.
GitHub
python-developer
Expert Python development guidance for this codebase. Use when writing Python code, implementing features, or following project coding standards and patterns.
GitHub
python-reviewer
Python code review specialist. Use when reviewing Python code, checking for bugs, security issues, or ensuring code quality standards.
GitHub
acli-jira
Atlassian CLI (acli) for Jira operations. Use when creating tickets, searching issues, updating status, or managing Jira work items from the command line.
GitHub
bmad-parallel
Auto-detect and parallelize BMAD story tasks
GitHub
parallel-executor
Automatically detect and execute parallel development tasks
GitHub
spec-parallel
Auto-detect and parallelize Spec Kit tasks
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.