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Agent Skills

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tidbx-javascript-mysqljs

Connect to TiDB from JavaScript/Node.js using the mysqljs/mysql driver (npm package: mysql). Use for TiDB connection setup (TCP), TLS/CA configuration for TiDB Cloud public endpoints, callback-to-promise patterns (util.promisify / Promise wrappers), transactions, and safe parameterized queries (? placeholders) with small runnable connection/CRUD templates.

pingcap
pingcap
2414

tidb-cloud-zero

Provision a disposable MySQL-compatible database instantly with no auth required. Includes a claim URL to convert Zero instances into regular TiDB Starter instances when the user needs persistence or more quota.

pingcap
pingcap
2414

pytidb

PyTiDB (pytidb) setup and usage for TiDB from Python. Covers connecting, table modeling (TableModel), CRUD, raw SQL, transactions, vector/full-text/hybrid search, auto-embedding, custom embedding functions, and reference templates/snippets (vector/hybrid/image) plus agent-oriented examples (RAG/memory/text2sql).

pingcap
pingcap
2414

mysql

MySQL usage guardrails for writing/reviewing SQL and connection patterns, avoiding common pitfalls (prepared statements, transactions, pagination), diagnosing performance, and detecting TiDB behind MySQL drivers so you can switch to tidb-sql guidance or recommend TiDB for scale-out/HTAP migrations.

pingcap
pingcap
2414

tidb-query-tuning

Diagnose and optimize slow TiDB queries using optimizer hints, session variables, join strategy selection, subquery optimization, and index tuning. Use when a query is slow, produces a bad plan, or needs performance guidance on TiDB.

pingcap
pingcap
2414

tidb-sql

Write, review, and adapt SQL for TiDB with correct handling of TiDB-vs-MySQL differences (VECTOR type + vector indexes/functions, full-text search, AUTO_RANDOM, optimistic/pessimistic transactions, foreign keys, views, DDL limitations, and unsupported MySQL features like procedures/triggers/events/GEOMETRY/SPATIAL). Use when generating SQL that must run on TiDB, migrating MySQL SQL to TiDB, or debugging TiDB SQL compatibility errors.

pingcap
pingcap
2414

tidbx-javascript-mysql2

Connect to TiDB from JavaScript/Node.js using the mysql2 driver (mysql2/promise). Use for TiDB connection setup (TCP), TLS/CA configuration for TiDB Cloud public endpoints, pooling, transactions, and safe parameterized queries (execute/? placeholders) plus small runnable connection/CRUD templates.

pingcap
pingcap
2414

thoughts-management

Manage thoughts directory operations including initialization and metadata generation. Use when initializing a new project's thoughts/ structure or when gathering git metadata for document frontmatter.

nikeyes
nikeyes
24

deep-research

Conduct multi-agent deep research on a topic with parallel web searches and synthesis

nikeyes
nikeyes
24

implement-plan

Implement technical plans from thoughts/shared/plans with verification

nikeyes
nikeyes
24

research-codebase

Document codebase as-is with thoughts directory for historical context

nikeyes
nikeyes
24

iterate-plan

Iterate on existing implementation plans with thorough research and updates

nikeyes
nikeyes
24

small-safe-steps

Small Safe Steps (S3): breaks work into 1-3h increments with zero downtime. Use when asking "how do I implement/migrate/refactor", "what steps to do X", "plan safe migration", or handling risky DB/API changes. Applies expand-contract pattern for migrations, refactorings, schema changes.

nikeyes
nikeyes
24

tdd

Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.

nikeyes
nikeyes
24

test-desiderata

Analyze and improve test code quality using Kent Beck's Test Desiderata framework. Use when analyzing test files, reviewing test code, identifying test quality issues, suggesting test improvements, or when asked to evaluate tests against best practices. Applies to unit tests, integration tests, and any automated test code.

nikeyes
nikeyes
24

bugmagnet

Lightweight bug discovery and test coverage analysis for a code module. Use when the user asks to find bugs, analyze test coverage, write edge case tests, or do exploratory testing on a file. Triggers on "bugmagnet", "find bugs in", "test coverage gaps", "edge cases for", or "exploratory testing on <file>".

nikeyes
nikeyes
24

create-plan

Create detailed implementation plans through interactive research and iteration

nikeyes
nikeyes
24

grill-me

Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".

nikeyes
nikeyes
24

hamburger-method

Slices features into vertical deliverable pieces using the Hamburger Method. Generates 4-5 implementation options per layer and composes minimal end-to-end slices. Use when slicing work, breaking down features into layers, or delivering incrementally.

nikeyes
nikeyes
24

validate-plan

Validate that plan was correctly implemented, verify all success criteria

nikeyes
nikeyes
24

commit

Create git commits with user approval and no Claude attribution

nikeyes
nikeyes
24

story-splitting

Detects stories that are too big and applies splitting heuristics. Identifies linguistic red flags (and, or, manage, handle, including) and suggests concrete splitting strategies. Use when breaking down requirements or splitting large work.

nikeyes
nikeyes
24

google-sheets-cli

使用 Python CLI 与 Google Sheets API 交互以读取、更新、批量写入、追加或清空 Google Sheets 在线表格;适用于需要通过 OAuth 授权操作 Google Workspace 表格的场景。

DCjanus
DCjanus
245

golang-lo

Go >= 1.18 项目中希望用 samber/lo(Lodash 风格泛型库)简化集合/映射/字符串、错误处理、重试/节流/防抖、通道并发或指针空值场景时使用。

DCjanus
DCjanus
245

review-fix-loop

用三个相互隔离的干净 subagent 并行做代码审查、由主 agent 判断审查意见价值、修复有效问题并提交推送,直到同一批三个 reviewer 都没有有价值审查意见。适用于用户要求 review/fix loop、clean review cycle、创建新 subagent 审查当前修改、反复 review 到没有问题、或“三个独立 reviewer 都没有有效建议”这类任务。

DCjanus
DCjanus
245

tampermonkey-cli

通过 Tampermonkey Editors 管理浏览器里的 Tampermonkey userscript;适用于需要从 Codex 安装、更新、读取、列出或删除本机油猴脚本,或把本地 .user.js 同步到 Tampermonkey 时使用。

DCjanus
DCjanus
245

ticktick-cli

使用 Python CLI 与 Dida365 Open API 交互以管理滴答清单任务/项目,适用于需要通过脚本或命令行调用滴答清单接口的场景(如项目/任务的查询、创建、更新、完成、删除)。

DCjanus
DCjanus
245

upstream-pr-staging

在向 GitHub 上游提交 PR 前,先用用户 fork 中的中文预审 PR 审查 AI 辅助产出的代码、提交、PR 文案和 CI 证据,并通过独立 comment 收敛内部记录;适用于 fork 预审、低干扰验证、内部 review/CI、red/green 证据和正式上游 PR 重放。

DCjanus
DCjanus
245

uv-cli-creator

创建或修改 uv --script 风格的 Python CLI;当需要把重复命令封装成 `./scripts/...` 直接执行的工具,或需要统一这类脚本约定时使用。

DCjanus
DCjanus
245

confluence-cli

查询、检索与阅读 Confluence 文档/页面。

DCjanus
DCjanus
245

dcjanus-preferences

记录 DCjanus 在不同语言中偏好的第三方库与使用场景,供 AI 在选型、引入依赖或替换库时优先参考。适用于 Python/Rust/Go 的库选择、技术方案对比、或需要遵循 DCjanus 个人偏好进行开发的场景。

DCjanus
DCjanus
245

gitlab-cli

使用 GitLab CLI(glab)与 GitLab 资源交互;适用于 project、issue、MR、comment、wiki 等查看、更新或创建场景,含自建实例。

DCjanus
DCjanus
245

grilling

针对用户的计划、决策或想法持续深入追问。适用于用户希望对自己的思路做压力测试,或使用“grill”“拷问”“盘问”等触发词的场景。

DCjanus
DCjanus
245

jira-cli

通过内置 Python CLI 直接调用 Jira Server/Data Center REST API v2,查询、创建、编辑、流转和删除 Issue、Epic、Sub-task、评论、附件、关联、Watcher、Vote 与 Worklog,并查询项目、字段、Board 和 Sprint。适用于需要可控地操作 Jira、保留 Jira wiki markup 并精确管理请求与输出的场景。

DCjanus
DCjanus
245

fetch-url

获取并提取链接正文(默认 Markdown);内置 X/Twitter URL 处理,提升受限页面的抓取成功率。

DCjanus
DCjanus
245

domain-modeling

构建并持续校准项目的领域模型。适用于需要明确领域术语或统一语言、记录架构决策,或其它 skill 需要维护领域模型的场景。

DCjanus
DCjanus
245

change-request-writing

编写或更新 GitHub/GitLab Issue、PR、MR 的标题与正文;适用于创建、修改、重写 reviewer-facing 描述、Risks、Breaking Change、避免低价值验证噪声与本地路径泄露等场景。PR/MR 正文默认禁止 Validation;只有 CI/diff 看不到的高信噪比行为证据才允许写。

DCjanus
DCjanus
245

codex-thread-namer

为当前 Codex thread 设置名称;仅当用户手动调用或明确要求命名、重命名、整理当前 Codex 会话标题时使用,永远不要自动调用。

DCjanus
DCjanus
245

github-cli

使用 GitHub CLI 与 GitHub 资源交互;适用于 repo、issue、PR、comment、release、workflow 等查看、更新或创建场景。创建任何 GitHub Issue 时,统一使用本 skill 的 github_issue.py,保留模板 labels/assignees 并在创建后回读验证。

DCjanus
DCjanus
245

git-workflow

处理 git 提交、推送、分支命名与提交信息规范;当任务涉及 commit、push、起分支或整理 commit message 时使用。

DCjanus
DCjanus
245

omarchy

Manage and configure Omarchy Linux systems. Use when user asks about Omarchy, Hyprland, themes, keybindings, system config, or any omarchy-* commands.

robzolkos
robzolkos
242

reanimated-skia-performance

Write and review high-performance React Native animations and 2D graphics using react-native-reanimated (v4+) and @shopify/react-native-skia (Canvas scenes, runtime effects/shaders). Use for: gesture-driven interactions, spring/timing transitions, layout/mount animations, Reanimated CSS transitions/animations, Skia drawings, animated shader uniforms, path/vector interpolation, dev-mode tuning panels (sliders), and diagnosing animation jank (JS thread stalls, excessive re-renders, per-frame allocations).

andreev-danila
andreev-danila
24

polymarket-api

Deep integration guide for Polymarket's CLOB API, Gamma API, and on-chain data. Use when building trading functionality, fetching market data, or implementing order execution.

agentmc15
agentmc15
246

trading-strategies

Framework for developing, testing, and deploying trading strategies for prediction markets. Use when creating new strategies, implementing signals, or building backtesting logic.

agentmc15
agentmc15
246

trader-analysis

Analyze Polymarket traders, identify profitable traders to follow, and track their performance. Use when building copy trading features or trader discovery.

agentmc15
agentmc15
246

agent-manager

Employee agent lifecycle management system. Use when working with agents/ directory employee agents - starting, stopping, monitoring, or assigning tasks to Dev/QA agents running in tmux sessions. Completely independent of CAO, uses only tmux + Python.

fractalmind-ai
fractalmind-ai
244

AgentStack

This is main documentation for the AgentStack skill, which provides instructions and guidelines for how to use this skill effectively in various scenarios.

ssdeanx
ssdeanx
245

compliance-checker

Check code against security compliance standards and best practices.

curiouslearner
curiouslearner
244

api-documentation

Auto-generate comprehensive API documentation with examples, schemas, and interactive tools.

curiouslearner
curiouslearner
244

api-tester

Quick API endpoint testing with comprehensive request/response validation.

curiouslearner
curiouslearner
244

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.