查阅业务逻辑、定位代码、排查问题，需求分析，方案设计时优先自动触发。先用每个 knowledge 文档的 name/description 元数据做 skill-style 路由，再按需打开 concepts、modules、troubles 和最小代码证据；代码定位优先使用模块文档入口和平台代码搜索小上下文，只有调用链、影响面或跨模块关系不足时才补查 graphify…
$ npx skills add HobbyBear/tinydocker --skill repomind-query -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HobbyBear/tinydocker repomind-query --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/HobbyBear/tinydocker.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/repomind-query .claude/skills/repomind-query && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "repomind-query" agent skill from https://github.com/HobbyBear/tinydocker/tree/main/.codex/skills/repomind-query into .claude/skills/repomind-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "repomind-query", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/HobbyBear/tinydocker/tree/main/.codex/skills/repomind-queryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add HobbyBear/tinydocker --skill repomind-query -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HobbyBear/tinydocker repomind-query --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HobbyBear/tinydocker.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/repomind-query .agents/skills/repomind-query && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "repomind-query" agent skill from https://github.com/HobbyBear/tinydocker/tree/main/.codex/skills/repomind-query into .agents/skills/repomind-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "repomind-query", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HobbyBear/tinydocker --skill repomind-query -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HobbyBear/tinydocker repomind-query --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HobbyBear/tinydocker.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/repomind-query .cursor/skills/repomind-query && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "repomind-query" agent skill from https://github.com/HobbyBear/tinydocker/tree/main/.codex/skills/repomind-query into .cursor/skills/repomind-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "repomind-query", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/HobbyBear/tinydocker.git --path .codex/skills/repomind-query--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add HobbyBear/tinydocker --skill repomind-query -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HobbyBear/tinydocker repomind-query --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HobbyBear/tinydocker.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/repomind-query .gemini/skills/repomind-query && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "repomind-query" agent skill from https://github.com/HobbyBear/tinydocker/tree/main/.codex/skills/repomind-query into .gemini/skills/repomind-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "repomind-query", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install HobbyBear/tinydocker repomind-queryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add HobbyBear/tinydocker --skill repomind-query -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/HobbyBear/tinydocker.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/repomind-query .github/skills/repomind-query && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "repomind-query" agent skill from https://github.com/HobbyBear/tinydocker/tree/main/.codex/skills/repomind-query into .github/skills/repomind-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "repomind-query", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HobbyBear/tinydocker --skill repomind-query -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install HobbyBear/tinydocker repomind-query --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HobbyBear/tinydocker.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/repomind-query .opencode/skills/repomind-query && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "repomind-query" agent skill from https://github.com/HobbyBear/tinydocker/tree/main/.codex/skills/repomind-query into .opencode/skills/repomind-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "repomind-query", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
repomind-query查阅业务逻辑、定位代码、排查问题，需求分析，方案设计时优先自动触发。先用每个 knowledge 文档的 name/description 元数据做 skill-style 路由，再按需打开 concepts、modules、troubles 和最小代码证据；代码定位优先使用模块文档入口和平台代码搜索小上下文，只有调用链、影响面或跨模块关系不足时才补查 graphify…
Repomind Query is an agent skill from HobbyBear/tinydocker. 查阅业务逻辑、定位代码、排查问题，需求分析，方案设计时优先自动触发。先用每个 knowledge 文档的 name/description 元数据做 skill-style 路由，再按需打开 concepts、modules、troubles 和最小代码证据；代码定位优先使用模块文档入口和平台代码搜索小上下文，只有调用链、影响面或跨模块关系不足时才补查 graphify query/explain/path，回答前自动进入 repomind-summary gate；有新发现或用户纠错时写回 RepoMind。
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
The repository describes itself as: 🐑 🐑 🐑 本系列教程主要是为了弄清楚容器化的原理，纸上得来终觉浅，绝知此事要躬行，理论始终不及动手实践来的深刻，所以这个系列会用go语言实现一个类似docker的容器化功能，最终能够容器化的运行一个进程。
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5de1c18. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
rgFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Repomind Query loads about 1.9k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 488 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 488 words (~1,879 tokens).
SKILL.md and 1 other file in .codex/skills/repomind-query of HobbyBear/tinydocker.
Open the folder on GitHubat commit 5de1c18
Repomind Query next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Repomind Query this skillHobbyBear/tinydocker | 165 | — | ~1.9k | Automated safety check: Pass | None | |
| Product Decision Agentdavila7/claude-code-templates | 32k | 2 repos | ~590 | Automated safety check: Pass | MIT | |
| Dev Workflowxstongxue/best-skills | 3k | — | ~395 | Automated safety check: Pass | Apache-2.0 | |
| Codebase Navncatbot/NcatBot | 116 | — | ~253 | Automated safety check: Pass | Custom licence | |
| Agent Dev Workshophashgraph-online/awesome-codex-plugins | 1.2k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Product SpecialistProrise-cool/Claude-Code-Multi-Agent | 305 | — | ~384 | Automated safety check: Pass | None |
davila7/claude-code-templates
中文产品决策 Agent。用于中国大陆互联网产品、运营、增长、商业化、数据、项目推进和组织协作场景：产品规划、需求分析、PRD、需求优先级、排期、版本规划、Roadmap、MVP、灰度、上线、迭代、增长停滞、拉新、投放、渠道、裂变、CAC、LTV、ROI、留存、转化、DAU/MAU、GMV、漏斗、社区运营、内容供给、创作者、用户运营、活动运营、私域、会员、定价、指标异常、数据口径、埋点、A/B…
xstongxue/best-skills
开发流程五步法。支持需求理解、方案设计、代码实现、代码审查、Bug 修复。当用户提到「需求分析」「方案设计」「代码实现」「代码审查」「理解需求」「技术设计」「开始写代码」「Review」「检查代码」「bug」「报错」「崩溃」「异常」「出错了」时使用。
ncatbot/NcatBot
导航 NcatBot 代码库：定位代码、理解模块、查阅文档。文档优先，非必要不读代码，通过问题分类 → 文档查阅 → 精准定位的流程找到目标。Use when: 定位代码、找代码、问题定位、代码在哪、哪个模块、哪个文件、issue 分析、bug 在哪、报错定位、功能在哪实现、架构理解、模块交互。
hashgraph-online/awesome-codex-plugins
交互式 AI Agent 开发工作坊：通过 6 阶段深度协作对话，引导用户完成 Agent 需求分析、架构设计、 工具定义、Prompt 与编排设计、代码生成、验证迭代，产出可直接运行的 Agent 项目。
Prorise-cool/Claude-Code-Multi-Agent
提供产品规划、需求分析、市场研究和业务分析能力。当需要进行产品决策、需求分析或市场研究时使用. An agent skill from Prorise-cool/Claude-Code-Multi-Agent.
ProgrammerAnthony/Expert-Coding-Harness
A skill your agent uses when 用户要创建新功能、构建组件、添加功能或修改行为等任何创作性工作之前。必须在实施任何方案前先触发本技能。触发场景：头脑风暴、方案设计、需求分析、功能规划、设计方案、系统设计、我想做、帮我想想、如何实现、方案评估、设计评审。
HobbyBear/tinydocker
初始化 RepoMind 业务知识库。全量重建 graphify 图谱，保守生成高置信 concepts/modules 文档，并为每个知识文件写入 name/description 元数据。执行前会自动修正旧格式；初始化结束后会询问是否继续导入 PRD 业务知识。
HobbyBear/tinydocker
同步历史 PRD/需求文档。先修正旧知识文件格式，再从 PRD 中提取业务概念，对照当前代码确认实际实现，合并更新 .repomind/concepts/ 的业务卡片与元数据；必要时再交给 repomind-summary 补充模块侧知识。
HobbyBear/tinydocker
每次 AI 完成代码修改、问答或排查结论后，且最终答复前，必须同步做轻量 summary gate 判断；代码写完后也要自动进入 gate。只有发现可复用的新业务知识、用户纠错、手动要求记忆的经验、模块边界、排查经验或知识文档元数据变化时，才执行写入。按类型更新 concepts、modules、troubles 及每个文档自己的 name/description，避免回到集中式索引。
查阅业务逻辑、定位代码、排查问题，需求分析，方案设计时优先自动触发。先用每个 knowledge 文档的 name/description 元数据做 skill-style 路由，再按需打开 concepts、modules、troubles 和最小代码证据；代码定位优先使用模块文档入口和平台代码搜索小上下文，只有调用链、影响面或跨模块关系不足时才补查 graphify…. Repomind Query is an agent skill from HobbyBear/tinydocker.
Run `npx skills add HobbyBear/tinydocker --skill repomind-query -a claude-code`. Or copy the skill folder (.codex/skills/repomind-query in HobbyBear/tinydocker) into .claude/skills/repomind-query in your project. Claude Code loads it when a task matches its description.
Run `npx skills add HobbyBear/tinydocker --skill repomind-query -a codex`. Or copy the skill folder (.codex/skills/repomind-query in HobbyBear/tinydocker) into .agents/skills/repomind-query in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HobbyBear/tinydocker --skill repomind-query -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/repomind-query, .gemini/skills/repomind-query, .github/skills/repomind-query and .opencode/skills/repomind-query in your project.
Going by SKILL.md and its folder, Repomind Query needs the command-line tools its instructions call (rg).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
No licence was found for Repomind Query or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.9k tokens (SKILL.md is roughly 7.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Repomind Query: Product Decision Agent (davila7/claude-code-templates, 32k stars), Dev Workflow (xstongxue/best-skills, 3k stars), Codebase Nav (ncatbot/NcatBot, 116 stars) and Agent Dev Workshop (hashgraph-online/awesome-codex-plugins, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
HobbyBear (a GitHub user) maintains it in HobbyBear/tinydocker, which has 165 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on July 6, 2026.
Source: HobbyBear/tinydocker on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
