全部 Agent Skills
41,263 个结果
- TDG Test-Driven GenerationchanwitTest-Driven Generation uses TDD (Test-Driven Development) techniques to generate tests and code in Red-Green-Refactor loops. Key words to detect are tdg, TDG.
- Test Automatorzhaono1Test automation framework expert for creating and maintaining automated tests. Use when user asks to write tests, automate testing, or improve test coverage.
- tronghieu/agent-skillsLưu Trọng Hiếu技能合集Method-driven agent skills for knowledge work: strategy, research, critical thinking, data analysis, docs, slides. Works with Claude Code, Codex, Cursor and any agentskills.io-compatible agent.
- Vitest Testingexistential-birdsVitest testing framework patterns and best practices. Use when writing unit tests, integration tests, configuring vitest.config, mocking with vi.mock/vi.fn, using snapshots, or setting up test coverage. Triggers on describe, it, expect, vi.mock, vi.fn, beforeEach, afterEach, vitest.
- Workflow Orchestratorzhaono1Coordinates multi-skill workflows and records or runs follow-up actions when the host runtime supports them. Use when completing PRD creation, implementation, or any milestone that should be evaluated for additional skills.
- BasecampbasecampInteract with Basecamp through the Basecamp CLI. Use for any Basecamp question or action, including projects, todos, cards, messages, files, schedules, check-ins, people, assignments, notifications, search, and account settings.
- Agent EvaluationMLflowUse this when you need to EVALUATE OR IMPROVE or OPTIMIZE an existing LLM agent's output quality - including improving tool selection accuracy, answer quality, reducing costs, or fixing issues where the agent gives wrong/incomplete responses. Evaluates agents systematically using MLflow evaluation with datasets, scorers, and tracing.
- Amazon Listing Optimizationliangdabiao亚马逊卖家listing构建器和优化器。两种模式：(A) 创建 — 使用关键词列表 + 产品特性 + AI文案从零开始构建关键词优化的listing，(B) 优化 — 审计现有listing，发现关键词差距，从8个维度评分，并使用缺失的关键词重写。与amazon-keyword-research集成获取关键词输入。适用于12个亚马逊市场。无需API密钥。适用于：(1) 从关键词创建新的亚马逊listing，(2) 审计现有listing的SEO和转化率，(3) 检查标题/五点/描述中的关键词覆盖，(4) 生成包含目标关键词和语气的listing文案，(5) 与竞品比较listing，(6) 为上架或重新上架准备listing。
- Analyzing Mlflow SessionMLflowAnalyzes an MLflow session — a sequence of traces from a multi-turn chat conversation or interaction. Use when the user asks to debug a chat conversation, review session or chat history, find where a multi-turn chat went wrong, or analyze patterns across turns.
- Analyzing Mlflow TraceMLflowAnalyzes a single MLflow trace to answer a user query about it. Use when the user provides a trace ID and asks to debug, investigate, find issues, root-cause errors, understand behavior, or analyze quality. Triggers on "analyze this trace", "what went wrong with this trace", "debug trace", "investigate trace", "why did this trace fail", "root cause this trace".
- API WriterTestAny-ioå API contractãæ¥å£å¥çº¦ãOpenAPI/AsyncAPI/GraphQL/gRPCãWebSocket/SSEãWebhookãSDK/åºæ¥å£ãæä»¶æ ¼å¼è§èãç¨äºå¨ PRD ä¹åãHLD ä¹å产åºå¯å®¡æ¥çæ¥å£å¥çº¦/åè®®ææ¡£ï¼ä½ä¸ºè·¨å¢éåä½çåä¸äºå®æºã
- Build A ScorerMLflowHelp the user choose, create, iterate, or align MLflow judges and scorers for an agent, RAG app, LLM app, or GenAI workflow, including MemAlign and domain-expert labels. Build a small set of atomic quality criteria with the cheapest reliable implementation.
- Cloud Native ReadinesslabringDetermine whether a repository contains a supported cloud workload, then assess eligible targets for cloud-native readiness with a 0-12 score. Use for containerization readiness, Docker/Kubernetes compatibility, deployment feasibility, workload eligibility, or pre-deployment assessment. Also triggers on "/cloud-native-readiness".
- Commitodysseus0Create a well-formed git commit from current changes using session history for rationale and summary; use when asked to commit, prepare a commit message, or finalize staged work.
- Debugodysseus0Investigate stuck runs and execution failures by tracing Symphony and Codex logs with issue/session identifiers; use when runs stall, retry repeatedly, or fail unexpectedly.
- Debug AgentMLflowRoot-causes AI agent failures from MLflow traces without requiring a code change, regression suite, scorer, or evaluation run. Use when the user asks to debug, investigate, explain, or determine why an agent produced an output. Prefer an existing matching trace; reproduce only when no usable trace exists.
- DebuggingLangConfigExpert guidance for debugging code, analyzing errors, and systematic problem-solving. Use when troubleshooting bugs, understanding error messages, or investigating unexpected behavior.
- Docker To SealoslabringConvert Docker Compose files or installation docs into production-grade Sealos templates with role-specific personal low-load resource sizing, official route and runtime semantics, KubeBlocks database and Job gates, and managed or optional S3 storage contracts.
- Dockerfile SkilllabringGenerate production-ready Dockerfile for any GitHub project. Supports monorepo, multi-stage builds, workspace detection, and iterative build-fix cycles. Use when user asks to create, generate, write, fix, or improve a Dockerfile, wants to containerize an application, mentions Docker build issues, needs a .dockerignore, or wants to package their app as a Docker image.
- Fix Agent IssueMLflowFix or change an AI agent's behavior using MLflow traces and regression tests. Use for wrong or incomplete answers, hallucinations, missing tool calls, new business rules, trace-driven debugging, or context and token-cost optimization. Diagnose the actual failure, plan a test, implement the smallest fix, and verify the new behavior without breaking existing cases.
- Fluent CfdcavoiieGuide Ansys Fluent and PyFluent CFD simulation workflows with MCP tool-use discipline. Use when Codex works on Fluent, PyFluent, Fluent TUI, CFD or fluid simulation setup, case/data files, mesh quality, boundary conditions, turbulence models, residual convergence, UDFs, post-processing, solver diagnostics, or validation of Ansys Fluent results.
- Git WorkflowLangConfigExpert guidance for Git workflows, branching strategies, and version control best practices. Use when managing repositories, resolving conflicts, or establishing team workflows.
- Instrumenting With Mlflow TracingMLflowInstruments Python and TypeScript code with MLflow Tracing for observability. Must be loaded when setting up tracing as part of any workflow including agent evaluation. Triggers on adding tracing, instrumenting agents/LLM apps, getting started with MLflow tracing, tracing specific frameworks (LangGraph, LangChain, OpenAI, Gemini, DSPy, CrewAI, AutoGen), or when another skill references tracing…
- Landodysseus0Land a PR by monitoring conflicts, resolving them, waiting for checks, and squash-merging when green; use when asked to land, merge, or shepherd a PR to completion.