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Found 9,711 Skills
AI SDLC repository spec-driven development workflow. Use when an AI assistant receives a medium or large feature, refactor, API change, architecture change, provider integration change, or any request that must follow requirements, design, test cases, QA planning, tasks, implementation, and validation. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution.
Optional AI SDLC user-experience workflow. Use when an AI assistant needs to define actors, goals, user journeys, interaction steps, loading/empty/error/success states, recovery behavior, content intent, accessibility requirements, or UX acceptance evidence and route them into traceable human and machine artifacts. Supports `--quick-flow` for a focused journey slice and `--full-flow` for strict state, accessibility, and acceptance coverage.
Integrate and operate BOUND, the deterministic bounded-utility control policy for agent workflows. Use when an agent must install bound-policy, define StepContracts, collect real ExecutionEvidence, evaluate meaningful execution boundaries, react to ACCEPT/RETRY/REPLAN/ROLLBACK, audit an existing BOUND integration, or produce a reproducible numeric integration report.
Build AI applications with OpenAI Agents SDK - text agents, voice agents, multi-agent handoffs, tools with Zod schemas, guardrails, and streaming. Prevents 11 documented errors. Use when: building agents with tools, voice agents with WebRTC, multi-agent workflows, or troubleshooting MaxTurnsExceededError, tool call failures, reasoning defaults, JSON output leaks.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
Build a custom durable AI agent with full control over streamText options, provider configs, and tool loops. Compatible with the Workflow Development Kit.
Design ETL workflows with data validation using tools like Pandas, Dask, or PySpark. Use when building robust data processing systems in Python.
Python/pytest TDD specialist for test-driven development workflows. Use when writing tests, auditing test quality, running pytest, or generating test reports. Integrates with uv and pyproject.toml configuration.
Personal knowledge management for Obsidian combining GTD, Zettelkasten, and PARA. Six workflows: (1) Capture - "capture this", "remember this", "save this thought", "note this down" - saves thoughts/tasks to daily inbox without categorization; (2) Process inbox - "process my inbox", "organize captures", "GTD processing" - clarifies items and routes to projects or permanent notes; (3) Daily plan - "plan my day", "what should I work on", "morning planning" - creates prioritized task list based on energy and context; (4) Daily closeout - "daily closeout", "review my day", "evening reflection" - marks progress and drafts tomorrow's plan; (5) Setup - "set up my second brain", "configure vault" - configures vault path and user goals; (6) Excalidraw - "create a diagram", "visualize this", "draw flowchart", "sketch this" - creates .excalidraw.md files with rectangles, ellipses, diamonds, arrows, lines, and text. Proactively offers to capture valuable insights during research conversations.
AWS cost optimization and FinOps workflows. Use for finding unused resources, analyzing Reserved Instance opportunities, detecting cost anomalies, rightsizing instances, evaluating Spot instances, migrating to newer generation instances, implementing FinOps best practices, optimizing storage/network/database costs, and managing cloud financial operations. Includes automated analysis scripts and comprehensive reference documentation.
LangGraph conditional routing patterns. Use when implementing dynamic routing based on state, creating branching workflows, or building retry loops with conditional edges.
Automatically apply improvements to skills and the ecosystem based on system-reviewer findings and best-practices-learner insights. Workflow for automated improvement identification, priority assessment, safe application, validation, and rollback capability. Use when applying systematic improvements, automating enhancement cycles, bulk updating multiple skills, or implementing ecosystem-wide improvements.