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Found 124 Skills
Operate `deepsky sustain` for Deepsky self-supervision. Use when the user asks the agent to keep itself alive, monitor balance or runway, inspect pricing, top up an account, retry pending top-up orders, clear auth state, or change sustain guardrails and config.
OKR trees, KPI dashboards, North Star Metric, leading/lagging indicators, and experiment design. Use when setting team goals, defining success metrics, building measurement frameworks, or designing A/B experiment guardrails.
Multi-agent systems with LangGraph - supervisor/swarm/handoff/router patterns, state coordination, Deep Agents, guardrails, testing, observability, deployment. Use when building multi-agent workflows, coordinating agents, or need cost-optimized orchestration. Uses Claude, DeepSeek, Gemini (no OpenAI).
Safety guardrails that warn before destructive commands. Use to protect beginners from accidentally running dangerous operations like rm -rf, DROP TABLE, git push --force, or git reset --hard. Provides beginner-friendly explanations of WHY a command is dangerous and suggests safer alternatives. Activate when the user mentions safety, careful mode, guardrails, protection, or when working with beginners on tasks involving file deletion, database changes, or git operations.
Complete Git expertise system for ALL git operations. PROACTIVELY activate for: (1) ANY Git task (basic/advanced/dangerous), (2) Repository management, (3) Branch strategies and workflows, (4) Conflict resolution, (5) History rewriting/recovery, (6) Platform-specific operations (GitHub/Azure DevOps/Bitbucket), (7) Advanced commands (rebase/cherry-pick/filter-repo). Provides: complete Git command reference, safety guardrails for destructive operations, platform best practices, workflow strategies, reflog recovery techniques, and expert guidance for even the most risky operations. Always asks user preference for automatic commits vs manual control.
Implement Supabase lint rules, policy enforcement, and automated guardrails. Use when setting up code quality rules for Supabase integrations, implementing pre-commit hooks, or configuring CI policy checks for Supabase best practices. Trigger with phrases like "supabase policy", "supabase lint", "supabase guardrails", "supabase best practices check", "supabase eslint".
Knowledge base for designing, reviewing, and linting agentic AI infrastructure. Use when: (1) designing a new agentic system and need to choose patterns, (2) reviewing an existing agentic architecture ADR or design doc for gaps/risks, (3) applying the lint script to an ADR markdown file to get structured findings, (4) looking up a specific agentic pattern (prompt chaining, routing, parallelization, reflection, tool use, planning, multi-agent collaboration, memory management, learning/adaptation, MCP, goal setting, exception handling, HITL, RAG, A2A, resource optimization, reasoning techniques, guardrails, evaluation, prioritization, exploration/discovery). All rules and guidance are grounded in the PDF "Agentic Design Patterns" (482 pages).
Implement governance and policy guardrails for Sentry. Use when enforcing organizational standards, compliance rules, or standardizing Sentry usage across teams. Trigger with phrases like "sentry governance", "sentry standards", "sentry policy", "enforce sentry configuration".
Use when asked to "run an A/B test", "design an experiment", "check statistical significance", "trust our results", "avoid false positives", or "experiment guardrails". Helps design, run, and interpret controlled experiments correctly. Based on Ronny Kohavi's framework from "Trustworthy Online Controlled Experiments".
Rails 7+ framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Rails projects, or when the user mentions Ruby on Rails. Provides ActiveRecord, Hotwire/Turbo, Action Cable, and convention-over-configuration guidelines.
TypeScript/JavaScript guardrails, patterns, and best practices for AI-assisted development. Use when working with TypeScript (.ts, .tsx) or JavaScript (.js, .jsx) files, package.json, or tsconfig.json. Provides strict mode conventions, async patterns, testing standards, and module system guidelines.
CUDA/GPU computing guardrails, patterns, and best practices for AI-assisted development. Use when working with CUDA files (.cu, .cuh), or when the user mentions CUDA/GPU programming. Provides kernel design patterns, memory hierarchy guidelines, and occupancy optimization specific to this project's coding standards.