GitHub
roadmap
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).
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DevOps AI Skills
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GitHub
implementation-supervisor
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...
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GitHub
create-worktree
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.
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GitHub
milestone
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.
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GitHub
coderabbit
Process CodeRabbit AI PR review suggestions from CODERABBIT.md in the TCC repo; triage, validate against code/specs, and implement safe, production-ready fixes.
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GitHub
adr
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...
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GitHub
dockerfile-best-practices
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...
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GitHub
bash-loop
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...
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GitHub
verification
Activates after code changes to suggest or run verification steps. Provides test-after-action patterns for different file types and frameworks.
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GitHub
context-preservation
Activates during long sessions or before context compaction. Manages attention markers and ensures critical information survives memory compression.
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GitHub
error-recovery
Activates when errors occur during execution. Provides self-correction patterns for immediate error fixing without verbose explanations or apologies.
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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.
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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.
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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).
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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.
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GitHub
ai-instruction-design
Control AI output through structured specifications: define roles, scope, format, decision rules, and abstraction levels. Prompts become contracts, not requests.
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GitHub
ai-4d-framework
Apply Anthropic's 4D Framework for AI delegation: Delegation (task selection), Description (instructions), Discernment (verification), and Diligence (iteration).
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GitHub
ai-problem-framing
Turn vague intent into solvable structures with explicit objectives, constraints, success criteria, and clear human vs AI responsibility boundaries.
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GitHub
ai-system-governance
Scale AI fluency beyond individuals through standards, guardrails, audit trails, and organizational policies that maintain quality and accountability.
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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.
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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.
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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.
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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.
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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.
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