CCPM Project Management
automazeio/ccpm
Runs a spec-driven workflow from PRD to epic to GitHub issues to parallel agents, with status, standup and blocked-work reports from bundled scripts.
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。
$ npx skills add HobbyBear/tinydocker --skill repomind-prd -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HobbyBear/tinydocker repomind-prd --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-prd .claude/skills/repomind-prd && 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-prd" agent skill from https://github.com/HobbyBear/tinydocker/tree/main/.codex/skills/repomind-prd into .claude/skills/repomind-prd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "repomind-prd", 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-prdType 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-prd -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HobbyBear/tinydocker repomind-prd --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-prd .agents/skills/repomind-prd && 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-prd" agent skill from https://github.com/HobbyBear/tinydocker/tree/main/.codex/skills/repomind-prd into .agents/skills/repomind-prd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "repomind-prd", 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-prd -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HobbyBear/tinydocker repomind-prd --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-prd .cursor/skills/repomind-prd && 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-prd" agent skill from https://github.com/HobbyBear/tinydocker/tree/main/.codex/skills/repomind-prd into .cursor/skills/repomind-prd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "repomind-prd", 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-prd--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-prd -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HobbyBear/tinydocker repomind-prd --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-prd .gemini/skills/repomind-prd && 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-prd" agent skill from https://github.com/HobbyBear/tinydocker/tree/main/.codex/skills/repomind-prd into .gemini/skills/repomind-prd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "repomind-prd", 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-prdInstalls 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-prd -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-prd .github/skills/repomind-prd && 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-prd" agent skill from https://github.com/HobbyBear/tinydocker/tree/main/.codex/skills/repomind-prd into .github/skills/repomind-prd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "repomind-prd", 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-prd -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-prd --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-prd .opencode/skills/repomind-prd && 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-prd" agent skill from https://github.com/HobbyBear/tinydocker/tree/main/.codex/skills/repomind-prd into .opencode/skills/repomind-prd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "repomind-prd", 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-prd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。
Repomind Prd is an agent skill from 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。
Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Product & Project Management, covering PRD writing. 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。
4 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash, yaml and markdown).
From 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 Prd loads about 757 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 209 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 209 words (~757 tokens).
“只有当用户明确提供了历史 PRD / 需求文档 / 产品描述,并希望把它沉淀为业务知识时才执行。”
SKILL.md and 1 other file in .codex/skills/repomind-prd of HobbyBear/tinydocker.
Open the folder on GitHubat commit 5de1c18
Repomind Prd 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 Prd this skillHobbyBear/tinydocker | 165 | — | ~757 | Automated safety check: Pass | None | |
| CCPM Project Managementautomazeio/ccpm | 8.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Ralph Tui Create Beadssubsy/ralph-tui | 2.5k | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Trellis Brainstormanjiemo/SunnyBeach | 178 | 7 repos | ~4k | Automated safety check: Pass | Apache-2.0 | |
| Adversarial Speczscole/adversarial-spec | 556 | 1 repos | ~8.3k | Automated safety check: Notes | MIT | |
| Ralph Tui Create Beads Rustsubsy/ralph-tui | 2.5k | 1 repos | ~2.8k | Automated safety check: Pass | MIT |
automazeio/ccpm
Runs a spec-driven workflow from PRD to epic to GitHub issues to parallel agents, with status, standup and blocked-work reports from bundled scripts.
subsy/ralph-tui
Convert PRDs to beads for ralph-tui execution. An agent skill from subsy/ralph-tui.
anjiemo/SunnyBeach
Guides collaborative requirements discovery before implementation.
zscole/adversarial-spec
Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree.
subsy/ralph-tui
Convert PRDs to beads for ralph-tui execution using beads-rust (br CLI).
Q00/ouroboros
Runs a guided product-manager interview that classifies each question automatically and produces a Product Requirements Document.
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
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…
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。
Categories
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。. Repomind Prd is an agent skill from HobbyBear/tinydocker.
Repomind Prd fits situations like: tasks that involve PRD writing.
Run `npx skills add HobbyBear/tinydocker --skill repomind-prd -a claude-code`. Or copy the skill folder (.codex/skills/repomind-prd in HobbyBear/tinydocker) into .claude/skills/repomind-prd in your project. Claude Code loads it when a task matches its description.
Run `npx skills add HobbyBear/tinydocker --skill repomind-prd -a codex`. Or copy the skill folder (.codex/skills/repomind-prd in HobbyBear/tinydocker) into .agents/skills/repomind-prd 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-prd -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-prd, .gemini/skills/repomind-prd, .github/skills/repomind-prd and .opencode/skills/repomind-prd in your project.
SKILL.md names no scripts, command-line tools or credentials: Repomind Prd is instructions for the agent only.
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 Prd or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 757 tokens (SKILL.md is roughly 3k 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 Prd: CCPM Project Management (automazeio/ccpm, 8.4k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Trellis Brainstorm (anjiemo/SunnyBeach, 178 stars) and Adversarial Spec (zscole/adversarial-spec, 556 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.