database-lookup（公共数据库查询）
SkillSkillsMP
io.github.K-Dense-AI/scientific-agent-skills/database-lookup
以显式端点、筛选条件、分页与溯源方式查询有文档的公共数据库 API。当需要以可复现方式从具名来源获取科学、监管、金融等数据库支撑的事实（而非依赖通用知识推断）时使用。
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“Ai Company” 共 1,185 个结果
io.github.K-Dense-AI/scientific-agent-skills/database-lookup
以显式端点、筛选条件、分页与溯源方式查询有文档的公共数据库 API。当需要以可复现方式从具名来源获取科学、监管、金融等数据库支撑的事实（而非依赖通用知识推断）时使用。
io.github.deepseek-ai/deepseek-harness/dsh-find-simplifications
Find evidence-backed simplifications in DeepSeek Harness code, APIs, configuration, tests, and prose; write or consolidate proposals, identify small inline cleanups, or assess simplifications from another branch. Use for removing dead, duplicated, speculative, or unnecessarily maintained behavior and infrastructure.
io.github.deepseek-ai/deepseek-harness/dsh-speed-up-perf
在调查或优化 DeepSeek Harness 性能、设计贴近真实的合成基准或 CI 性能门禁、剖析长会话或 Web 响应速度，或把性能 PR 的证据转化为经测量且不改变行为的修复时使用。
io.github.airbytehq/airbyte/source-snowflake-e2e-tests
Run the Airbyte protocol sweep for airbyte/source-snowflake:<tag> against the shared Snowflake integration account inside a per-run PROVEFIX_<run_id> schema (B3 remote-backend mode of db-harness-lib); prove-fix comparisons, cursor canary, orphan sweep.
io.github.deepseek-ai/deepseek-harness/dsh-trim-cot-leakage
在审计或修正读起来像泄漏推理记录的文案时使用——例如（决策 N）、审计条目编号等指向未提交草稿的陈旧设计会话引用；used to、no longer、this cut 之类的变更叙述；基于栈或评审视角的表述（本 stack 中后续的 PR、评审中被否决）；面向评审者的辩解；控制流叙述；以及注释、JSDoc、文档、Agent Notes 中残留的规划性试探语气。
io.github.rohitg00/ai-engineering-from-scratch/release-review
Review Orchard deployment manifests
io.github.rohitg00/ai-engineering-from-scratch/orchard-release
Check deployment evidence and recovery conditions.
io.github.langchain-ai/deepagents/safety
Check secret handling, staged changes and push targets, destructive Git operations, Docker image hygiene, and new dependencies before consequential coding actions. Use for commits, pushes, container builds or publishes, dependency additions, and explicit safety reviews.
io.github.deepseek-ai/deepseek-harness/agent-experience
Use when writing or changing a model-facing tool definition (name, description, parameter schema, or its system-prompt section), and when designing skills, context loading, or multi-step workflows, to make information discoverable and use context efficiently.
io.github.berriai/litellm/rust-tracing
Add or change Rust diagnostic tracing in litellm-rust, including route spans, subscriber layers, and Python logger delivery
io.github.moeru-ai/airi/enforce-rules-for-typescript
Enforce AIRI's TypeScript and Vue source rules for imports, naming, comments, JSDoc, fallbacks, stateful and protocol code, and module design. Use when writing, refactoring, or reviewing TypeScript or Vue source code in the AIRI monorepo.
io.github.moeru-ai/airi/enforce-rules-for-unocss
执行 AIRI 的 UnoCSS、Vue 样式、共享 UI 组件、动画、图标与色彩模式实践。在 AIRI monorepo 中创建、编辑、重构或审查 Vue 模板、组件样式、原子类、UnoCSS 配置、动画、图标、UI 基础组件或 VueUse 暗色模式行为时使用。
io.github.different-ai/openwork/connect-openwork-mcp
Connect the OpenWork MCP Gateway (https://api.openworklabs.com/mcp/agent) to Claude Code, Codex, Gemini CLI, Cursor, VS Code, Claude Desktop, or ChatGPT so the agent can use the user's OpenWork organization skills, plugins, and connections.
io.github.rtk-ai/rtk/rtk-tdd
为 Rust 开发强制实行 TDD（红-绿-重构）。在实现、测试、重构和修 bug 任务时自动触发。提供符合 Rust 习惯的测试模式，涵盖 anyhow/thiserror、cfg(test) 与 Arrange-Act-Assert 流程。
io.github.rohitg00/ai-engineering-from-scratch/mcpa-certification
AI-native tutor and onboarding workflow for the MCPA (Model Context Protocol Associate) certification in AI Engineering from Scratch. Use when a learner wants to prepare for the MCPA, resume their certification path, learn the next lesson interactively, run and verify practical labs, take the diagnostic or a full mock, or remediate weak exam domains from GitHub with Claude Code, Codex, ChatGPT, Cursor, or another agent.
io.github.deepseek-ai/deepseek-harness/agent-experience
Use when writing or changing a model-facing tool definition (name, description, parameter schema, or its system-prompt section), and when designing skills, context loading, or multi-step workflows, to make information discoverable and use context efficiently.
io.github.mem0ai/mem0/search
Search memories from earlier Cursor sessions in this repository. Use it when earlier work may already explain the code, error, decision, or command you need, so you can avoid repeating file reads, searches, or experiments.
io.github.The-Vibe-Company/quivr/tdd
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
io.github.stablyai/orca/computer-use
通过 orca computer 对可见的本地应用窗口进行 OS/窗口级检视与输入:原生应用、外部浏览器窗口(Chrome、Edge、Safari)和应用 webview。不适用于 Orca 内置浏览器(用 orca-cli)或纯页面自动化(用 Playwright 或 CDP)。
io.github.stablyai/orca/orca-cli
通过 orca CLI 操作 Orca 管理的工作树、目录上下文、终端、仓库、自动化、产物、技能共享、工作树评论,以及 Orca 内置浏览器。当用户说 "$orca-cli"、"Orca worktree"、"child worktree"、"spawn codex/claude in a worktree"、"read/wait/send Orca terminal"、"handoff/handover/give this to another agent"、"Orca browser"、"orca artifacts" 或 "share skills" 时使用。涉及 Orca 状态时优先于原始 git worktree、临时 PTY 或 Computer Use。仅当外部窗口或桌面 UI 需要 OS 级控制时使用 Computer Use;外部页面用 Playwright 或 CDP。
io.github.JCodesMore/ai-website-cloner-template/clone-website
Reverse-engineer and clone one or more websites in one shot — extracts assets, CSS, and content section-by-section and proactively dispatches parallel builder agents in worktrees as it goes. Use this whenever the user wants to clone, replicate, rebuild, reverse-engineer, or copy any website. Also triggers on phrases like "make a copy of this site", "rebuild this page", or "pixel-perfect clone". The request must include one or more target URLs.
io.github.deepseek-ai/deepseek-harness/cordis-plugin-development
Use when authoring, installing, configuring, or debugging persistent plugins and MCP connections in the current Harness profile.
io.github.deepseek-ai/deepseek-harness/editing-cordis-compositions
在本 harness 中创建、修改或校验 Cordis composition 时使用——编写或编辑代理预设、增删插件行、判断某项内容属于宿主 composition 还是单个会话、检查自己编写的预设是否真正被装载，或诊断已装载但未产生任何贡献的插件行。
io.github.K-Dense-AI/scientific-agent-skills/nextflow
端到端构建、运行和调试 Nextflow 数据流水线与 nf-core 工作流。只要用户提到 Nextflow、nf-core、.nf 文件、nextflow.config、DSL2、processes/channels/operators、samplesheet，或想运行社区流水线（如 nf-core/rnaseq、nf-core/sarek）、用 nf-test 编写和测试模块/subworkflow、配置执行器/容器（Docker、Singularity/Apptainer、Conda、Wave）、把工作流扩展到 HPC/SLURM 或云（AWS Batch、Google Batch、Azure、Kubernetes）、调试失败/续跑的运行，都应使用。即使用户没有说出 “Nextflow”，任何可复现的科学/生信工作流也应考虑使用，也包括编写 nf-core 合规的 pipeline、模块、配置和 lint。