All categories
Code Review & Quality
Code review, refactoring, debugging, maintainability, and engineering quality
- 16,413
- 684
Security grades appear on each card once the skill has been scanned. Newly imported skills may briefly show without a grade until the backfill job runs.
Open in full browserBrowse code review & quality skills
Showing 8,209–8,232 of 16,413 skills
- Postgres Row Level SecurityDesigning Postgres Row-Level Security (RLS) policies for multi-tenant authorization, especially in Supabase / PostgREST stacks — `CREATE POLICY` syntax, USING vs WITH CHECK, PERMISSIVE/RESTRICTIVE merge semantics, the `(SELECT auth.uid())` performance pattern that turns 171ms scans into <1ms, indexes still required, role-based bypass via BYPASSRLS, security-definer escape hatches. Grounded in postgresql.org, Supabase docs, and Gary Austin's RLS-Performance benchmarks.Votes: 0GitHub stars: 10
- Ostrom Commons GovernanceApply Elinor Ostrom's 8 design principles for governing commons to software architecture and AI agent coordination systems. Use when auditing shared-resource systems for governance gaps, designing agent commons, evaluating whether a coordination daemon satisfies self-governance properties, or building graduated-sanction regimes for misbehaving agents. NOT for environmental policy, generic org consulting, or non-shared-resource UX decisions.Votes: 0GitHub stars: 10
- OrchestratorDEPRECATED: Use dag-orchestrator instead. This skill has been merged into the more powerful dag-orchestrator skill.Votes: 0GitHub stars: 10
- Operad Task DecompositionUse operads to formally model hierarchical task decomposition for multi-agent systems. Covers typed composition, wiring diagrams, and the relationship to DAG-of-agents architectures. Use when decomposing complex tasks for multi-agent execution, designing DAG topologies, validating decomposition type-safety, or building compositional agent workflows. NOT for runtime scheduling, individual skill authoring, or generic category-theory tutoring.Votes: 0GitHub stars: 10
- Ongaro Ousterhout 2014 RaftApply Raft's design principles for building understandable, reliable distributed and multi-agent systemsVotes: 0GitHub stars: 10
- Next MovePredicts the highest-impact next action for your project by running a 5-agent meta-DAG pipeline. Gathers project signals automatically (git, recent files, port-daddy, CLAUDE.md), then runs sensemaker → decomposer → skill-selector + premortem → synthesizer. When execution is approved, convert each predicted node into a skillful node prompt using skillful-node-prompt + skillful-subagent-creator, prefer live WinDAGs visualization backed by POST /api/execute and /ws/execution/:id, and fall back t...Votes: 0GitHub stars: 10
- Mythical Man MonthClassic software engineering text on project management, Brooks's Law, and the nature of software complexityVotes: 0GitHub stars: 10
- Ml System Design InterviewCoaches end-to-end ML system design interviews covering inference pipelines, recommendation systems, RAG, feature stores, and monitoring. Use for L6+ design rounds, ML architecture whiteboarding, system design practice, serving tradeoff analysis. Activate on "ML system design", "ML interview", "recommendation system design", "RAG architecture", "feature store design", "model serving". NOT for coding interviews, behavioral questions, ML theory quizzes, or paper implementations.Votes: 0GitHub stars: 10
- Legal Advertorial WriterWrites legal-tech advertorials, landing pages, and blog-to-CTA copy for expungement, debt relief, housing rights, and related services. Use when turning educational legal content into honest, trauma-informed conversion copy with clear competitive framing and non-hyped CTAs. NOT for legal advice, courtroom filings, or manipulative direct-response copy that overstates results.Votes: 0GitHub stars: 10
- Law Enforcement Decision Making During Clicense: Apache-2.0 NOT for unrelated tasks outside this domain.Votes: 0GitHub stars: 10
- Knowledge Distillation SurveyComprehensive survey of knowledge distillation methods, architectures, and applications in neural network compressionVotes: 0GitHub stars: 10
- Kahneman Klein ExpertiseIntegration of Kahneman's heuristics research with Klein's expertise studies on intuitive decision-makingVotes: 0GitHub stars: 10
- How To Solve It A New Aspect Polya G 7564Use when stuck on a hard problem, decomposition is unclear, a related problem is needed, or explicit looking-back review will improve transfer. NOT for routine execution with a known procedure, rote checklist work, or domain questions that need specialized subject matter expertise instead of heuristic search.Votes: 0GitHub stars: 10
- Hoare 1978 CspFoundational theory for process-oriented concurrency through synchronous message-passing, applicable to multi-agent coordination and parallel decompositionVotes: 0GitHub stars: 10
- Fischer Lynch Paterson 1985 Flp ImpossibilityFoundational impossibility result proving consensus cannot be guaranteed in asynchronous systems with even one faulty processVotes: 0GitHub stars: 10
- Fipa 00037 Communicative Act LibraryFIPA standard library of communicative acts (speech acts) for agent-to-agent messaging semanticsVotes: 0GitHub stars: 10
- Distributed AlgorithmsFoundational distributed computing algorithms for consensus, coordination, and fault toleranceVotes: 0GitHub stars: 10
- Ddd Evans 2003Domain-Driven Design methodology using bounded contexts, ubiquitous language, and strategic/tactical patternsVotes: 0GitHub stars: 10
- Dag Semantic MatcherMatches natural language task descriptions to appropriate skills using semantic similarity. Handles fuzzy matching, intent extraction, and capability alignment. Activate on 'find skill', 'match task', 'semantic search', 'skill lookup', 'what skill for'. NOT for ranking matches (use dag-capability-ranker) or skill catalog (use dag-skill-registry).Votes: 0GitHub stars: 10
- Dag Replay DebuggerTime-travel debugging for DAG executions. Inspect agent state at any node, replay decisions with modified inputs, compare execution traces side-by-side, and identify where reasoning diverged. Inspired by LangGraph Studio's state-editing model and Temporal's event history. Activate on "debug DAG", "replay execution", "time travel debug", "inspect node state", "what went wrong at step", "compare runs", "execution diff". NOT for live monitoring (use dag-runtime + websocket-streaming), failure an...Votes: 0GitHub stars: 10
- Dag Performance ProfilerProfiles DAG execution performance including latency, token usage, cost, and resource consumption. Identifies bottlenecks and optimization opportunities. Activate on 'performance profile', 'execution metrics', 'latency analysis', 'token usage', 'cost analysis'. NOT for execution tracing (use dag-execution-tracer) or failure analysis (use dag-failure-analyzer).Votes: 0GitHub stars: 10
- Dag Output ValidatorValidates agent outputs against expected schemas and quality criteria. Ensures outputs meet structural requirements and content standards. Activate on 'validate output', 'output validation', 'schema validation', 'check output', 'output quality'. NOT for confidence scoring (use dag-confidence-scorer) or hallucination detection (use dag-hallucination-detector).Votes: 0GitHub stars: 10
- Dag Graph BuilderParses complex problems into DAG (Directed Acyclic Graph) execution structures. Decomposes tasks into nodes with dependencies, identifies parallelization opportunities, and creates optimal execution plans. Activate on 'build dag', 'create workflow graph', 'decompose task', 'execution graph', 'task graph'. NOT for simple linear tasks or when an existing DAG structure is provided.Votes: 0GitHub stars: 10
- Dag Failure AnalyzerPerforms root cause analysis on DAG execution failures. Traces failure propagation, identifies systemic issues, and generates actionable remediation guidance. Activate on 'failure analysis', 'root cause', 'why did it fail', 'debug failure', 'error investigation'. NOT for execution tracing (use dag-execution-tracer) or performance issues (use dag-performance-profiler).Votes: 0GitHub stars: 10