GitHub
complexity-gate
Estimate issue complexity before implementation to prevent timeouts. Uses cheap estimation to save expensive implementation tokens.
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databases project management AI Skills
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GitHub
issue-creator
Generate GitHub issues from an approved engineering specification. Use to break down a spec into implementable, atomic tasks with dependencies, sizing, and labels.
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GitHub
fix-planner
Design fix plans based on root cause analysis. Use after root cause is identified to plan specific code changes and test cases needed to fix the bug.
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GitHub
feature-recovery
Analyze implementation failures and generate recovery plans. Use when an issue fails and needs diagnosis for retry or escalation.
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GitHub
feature-spec-moderator
Apply critic feedback to improve an engineering spec. Use when revising a spec based on review comments to address issues and improve quality scores.
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GitHub
backlog-critic
Engineering critic for backlog prioritization debates. Challenges proposed rankings with feasibility concerns, hidden complexity, and realistic effort estimates.
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GitHub
code-quality-analyst
Analyzes code changes for quality issues, code smells, SOLID violations, LLM-generated code problems, and refactoring opportunities. Reports findings with severity, evidence, and suggested fixes.
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GitHub
fix-planner
Design fix plans based on root cause analysis. Use after root cause is identified to plan specific code changes and test cases needed to fix the bug.
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GitHub
issue-splitter
Split complex issues into smaller, implementable sub-issues. Called automatically when ComplexityGate determines an issue needs splitting.
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GitHub
feature-spec-critic
Review and score engineering specs against a quality rubric. Use when evaluating a spec draft before implementation to ensure it meets quality standards and identifies potential issues.
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GitHub
feature-spec-critic
Review and score engineering specs against a startup-focused quality rubric. Penalize over-engineering and reward simplicity.
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GitHub
backlog-champion
Champion prioritization of discovered opportunities. Advocates for the most impactful, actionable items based on team velocity, business value, and technical feasibility.
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GitHub
feature-spec-moderator
Chief Architect review - critically evaluate peer feedback on an engineering spec. Integrate valid suggestions, push back on scope creep, and maintain alignment with the PRD. Enforce startup simplicity.
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GitHub
issue-creator
Generate GitHub issues from an approved engineering specification. Use to break down a spec into implementable, atomic tasks with dependencies, sizing, and labels.
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GitHub
refactor-moderator
Synthesizes analyst findings with critic feedback. Produces final recommendations and generates TDD-compatible refactor plans for approved issues.
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GitHub
next-bead
Find and safely claim the next Beads task with conflict checking. Use when looking for work, when finishing a task and need the next one, when the user mentions "next task" or "what should I work on", or when c...
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GitHub
decompose-task
Decompose a phase plan into atomic beads and sub-beads. Use when breaking down a phase into tasks, when the user mentions "decompose" or "break down", when creating beads from a plan, or when structuring work f...
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GitHub
prime
New agent startup checklist for Agent Mail and Beads. Use when starting a new agent session, when the user says "prime" or "startup", or when beginning work on a multi-agent project.
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GitHub
bead-workflow
Manage beads correctly including claiming, closing, announcements, and dependencies. Use when starting work on a task, when finishing a task, when the user mentions beads or tasks, or when coordinating with oth...
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GitHub
startup-data-scientist
Data scientist specializing in startup analytics, user behavior tracking, and metrics analysis for Lean Startup and Customer Development methodologies. Use when analyzing user data, setting up analytics, measur...
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GitHub
arc-runner-troubleshooting
Troubleshoot ARC (Actions Runner Controller) runners on Rackspace Spot Kubernetes. Diagnose stuck jobs, scaling issues, and cluster access. Activates on "runner", "ARC", "stuck job", "queued", "GitHub Actions",...
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GitHub
rackspace-spot-best-practices
Best practices for running GitHub Actions ARC runners on Rackspace Spot Kubernetes. Covers spot instance management, preemption handling, cost optimization, and resilience strategies. Activates on "rackspace sp...
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GitHub
dppm-orchestration
DPPM (Discover, Plan, Prototype, Monitor) planning and orchestration with mandatory plan documents, impact analysis, ASCII diagrams, task breakdowns, evidence gating, context-compaction check-ins, and user test...
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GitHub
railway-deploy
Railway deployment management for {{PROJECT_NAME}}: CLI, env vars, health checks, troubleshooting, rollback.
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