Happycapy Skill Creator
happycapy-ai/Happycapy-skills
Automate HappyCapy skill creation by finding and adapting existing skills from anthropics/skills repository.
Scan child projects for pitfalls and propose company standard updates
Install Knowledge Feedback
$ npx skills add Stanshy/AgentHub --skill knowledge-feedback -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Stanshy/AgentHub knowledge-feedback --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/Stanshy/AgentHub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.knowledge/company/skill-templates/knowledge-feedback .claude/skills/knowledge-feedback && 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 "knowledge-feedback" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/knowledge-feedback into .claude/skills/knowledge-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-feedback", 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/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/knowledge-feedbackType 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 Stanshy/AgentHub --skill knowledge-feedback -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Stanshy/AgentHub knowledge-feedback --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.knowledge/company/skill-templates/knowledge-feedback .agents/skills/knowledge-feedback && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "knowledge-feedback" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/knowledge-feedback into .agents/skills/knowledge-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-feedback", 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 Stanshy/AgentHub --skill knowledge-feedback -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Stanshy/AgentHub knowledge-feedback --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.knowledge/company/skill-templates/knowledge-feedback .cursor/skills/knowledge-feedback && 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 "knowledge-feedback" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/knowledge-feedback into .cursor/skills/knowledge-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-feedback", 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/Stanshy/AgentHub.git --path .knowledge/company/skill-templates/knowledge-feedback--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 Stanshy/AgentHub --skill knowledge-feedback -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Stanshy/AgentHub knowledge-feedback --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.knowledge/company/skill-templates/knowledge-feedback .gemini/skills/knowledge-feedback && 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 "knowledge-feedback" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/knowledge-feedback into .gemini/skills/knowledge-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-feedback", 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 Stanshy/AgentHub knowledge-feedbackInstalls 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 Stanshy/AgentHub --skill knowledge-feedback -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .github/skills && cp -r skills-src/.knowledge/company/skill-templates/knowledge-feedback .github/skills/knowledge-feedback && 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 "knowledge-feedback" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/knowledge-feedback into .github/skills/knowledge-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-feedback", 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 Stanshy/AgentHub --skill knowledge-feedback -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Stanshy/AgentHub knowledge-feedback --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.knowledge/company/skill-templates/knowledge-feedback .opencode/skills/knowledge-feedback && 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 "knowledge-feedback" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/knowledge-feedback into .opencode/skills/knowledge-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-feedback", 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.
Facts
- Skill name
knowledge-feedback- GitHub stars
- 202
- Token cost
- ~549 tokens
- SKILL.md length
- 116 words
- Files
- 1
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- MIT
At a glance
Scan child projects for pitfalls and propose company standard updates
- Works in 3 steps: 從系統提示詞中取得子專案清單（含絕對路徑） → 依序讀取每個子專案的 .knowledge/postmortem-log.md → 讀取每個子專案的 .knowledge/coding-standards.md…
- Tasks that involve Skill authoring
- SKILL.md covers 使用方式, 參數, 前置條件 and 執行步驟, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Knowledge Feedback is an agent skill from Stanshy/AgentHub. Scan child projects for pitfalls and propose company standard updates
Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Skill authoring. The repository describes itself as: One person, one software company. Manage 47 AI agents from a single Electron app — with Harness Engineering (Skills + Hooks + FileWatchers) for disciplined, traceable AI workflows. The licence is MIT.
When your agent uses it
- Tasks that involve Skill authoring
Example prompts
- “/knowledge-feedback”
Requirements
- Pre-approved tools (allowed-tools): Read, Edit, Glob, Grep, Bash
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- 從系統提示詞中取得子專案清單（含絕對路徑）
- 依序讀取每個子專案的 .knowledge/postmortem-log.md
- 讀取每個子專案的 .knowledge/coding-standards.md 了解專案現況
What it can do on your machine
Read from SKILL.md and the folder at commit 5300820. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadEditGlobGrepBash
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Knowledge Feedback loads about 549 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 116 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.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Edit, Glob, Grep, Bash
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.
SKILL.md
The full file from Stanshy/AgentHub at commit 5300820, republished under its MIT licence (© Stanshy). 116 words, ~549 tokens.
Download SKILL.mdSave it as
.claude/skills/knowledge-feedback/SKILL.md (or your agent's skills folder).- name
- knowledge-feedback
- description
- Scan child projects for pitfalls and propose company standard updates
- allowed-tools
- Read, Edit, Glob, Grep, Bash
知識回饋
掃描子專案踩坑紀錄，分類並提出公司規範修改建議。
使用方式
/knowledge-feedback參數
無（操作所有已知子專案）
前置條件
- 必須使用「公司知識管理者」(company-manager) Agent 開啟 Session
- 系統提示詞中已注入子專案清單
執行步驟
階段 1: 收集踩坑紀錄
- 從系統提示詞中取得子專案清單（含絕對路徑）
- 依序讀取每個子專案的
.knowledge/postmortem-log.md - 讀取每個子專案的
.knowledge/coding-standards.md了解專案現況
階段 2: 分類與標記
對每筆踩坑紀錄進行分類：
| 分類 | 判斷標準 | 處理方式 |
|---|---|---|
| 通用問題 | 會在多個專案重複發生、與特定技術棧無關 | 建議更新公司規範 |
| 專案特定 | 僅與該專案的技術選擇或架構有關 | 僅供參考，不更新公司規範 |
| 已處理 | 已在公司規範中有對應規則 | 跳過 |
通用性判斷標準
判斷一筆踩坑紀錄是否具有通用性（應提升為公司規範），使用以下標準：
| 條件 | 判斷 |
|---|---|
| 同類問題出現在 ≥2 個專案 | 強通用 → 必須寫入 postmortem-common.md |
| 問題與框架/語言無關（如 Git 操作、CI 流程） | 通用 → 建議寫入 |
| 問題根因是架構設計或流程規範缺失 | 通用 → 建議寫入 |
| 問題僅因特定版本/套件 bug | 專案特定 → 不寫入 |
| 問題已在公司規範中有對應規則 | 已處理 → 跳過 |
階段 3: 產出摘要報告
輸出以下格式的報告：
# 跨專案知識回饋報告
**掃描日期**: {today}
**掃描專案數**: {count}
## 通用問題（建議更新公司規範）
| # | 來源專案 | 問題摘要 | 分類 | 建議更新的規範文件 | 建議內容 |
|---|---------|---------|------|------------------|---------|
| 1 | {project} | {summary} | {category} | {file} | {suggestion} |
## 專案特定問題（僅供參考）
| # | 來源專案 | 問題摘要 | 備註 |
|---|---------|---------|------|
| 1 | {project} | {summary} | {note} |
## 建議的規範修改
### 修改 1: {file}
**原因**: {why}
**建議新增/修改的內容**:
{diff or new content}階段 4: 等待老闆確認
- 將報告呈報老闆
- 不得自行修改任何檔案，等待老闆逐項確認
- 老闆可能：全部接受 / 部分接受 / 全部拒絕 / 提出修改意見
階段 5: 執行更新
老闆確認後：
- 修改
.knowledge/company/下的對應文件 - 每個修改都說明：改了什麼、為什麼、影響範圍
- 更新完成後，整理變更摘要
- 對標記為「強通用」或「通用」的踩坑紀錄，寫入
.knowledge/company/standards/postmortem-common.md，格式：
| 日期 | 來源專案 | 分類 | 問題摘要 | 解法 | 相關規範 |
|---|---|---|---|---|---|
| {date} | {project} | {category} | {summary} | {solution} | {reference} |
可寫入的路徑
.knowledge/company/sop/*.md.knowledge/company/standards/*.md.knowledge/company/standards/postmortem-common.md.knowledge/company/templates/*.md
不可寫入的路徑
- 子專案的任何檔案（唯讀）
.knowledge/company/skill-templates/（Skill 模板由開發流程管理）.knowledge/company/project-templates/（專案模板由開發流程管理）
© Stanshy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .knowledge/company/skill-templates/knowledge-feedback of Stanshy/AgentHub.
Open the folder on GitHubat commit 5300820
Compare with similar skills
Knowledge Feedback 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 |
|---|---|---|---|---|---|---|
| Knowledge Feedback this skillStanshy/AgentHub | 202 | — | ~549 | Automated safety check: Notes | MIT | |
| Happycapy Skill Creatorhappycapy-ai/Happycapy-skills | 137 | — | ~627 | Automated safety check: Pass | MIT | |
| Skill CreatorAzure/azqr | 795 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 | |
| Claude Code Skill Developer Guidediet103/claude-code-infrastructure-showcase | 10k | 11 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Darwin Skill Optimizeralchaincyf/darwin-skill | 6.2k | 1 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Claude Code Command Developmentanthropics/claude-plugins-official | 38k | 10 repos | ~4.8k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Knowledge Feedback
What does Knowledge Feedback do?
Scan child projects for pitfalls and propose company standard updates. Knowledge Feedback is an agent skill from Stanshy/AgentHub.
When should I use Knowledge Feedback?
Knowledge Feedback fits situations like: tasks that involve Skill authoring.
How do I install Knowledge Feedback in Claude Code?
Run `npx skills add Stanshy/AgentHub --skill knowledge-feedback -a claude-code`. Or copy the skill folder (.knowledge/company/skill-templates/knowledge-feedback in Stanshy/AgentHub) into .claude/skills/knowledge-feedback in your project. Claude Code loads it when a task matches its description.
How do I install Knowledge Feedback in Codex?
Run `npx skills add Stanshy/AgentHub --skill knowledge-feedback -a codex`. Or copy the skill folder (.knowledge/company/skill-templates/knowledge-feedback in Stanshy/AgentHub) into .agents/skills/knowledge-feedback in your project. Codex loads it when a task matches its description.
Can I use Knowledge Feedback in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Stanshy/AgentHub --skill knowledge-feedback -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/knowledge-feedback, .gemini/skills/knowledge-feedback, .github/skills/knowledge-feedback and .opencode/skills/knowledge-feedback in your project.
What does Knowledge Feedback need to run?
SKILL.md names no scripts, command-line tools or credentials: Knowledge Feedback is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Edit, Glob, Grep, Bash.
Does Knowledge Feedback access the network?
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.
Is Knowledge Feedback safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Knowledge Feedback use?
Knowledge Feedback is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Knowledge Feedback use?
About 549 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Knowledge Feedback?
Skills that share tags, products or a category with Knowledge Feedback: Happycapy Skill Creator (happycapy-ai/Happycapy-skills, 137 stars), Skill Creator (Azure/azqr, 795 stars), Claude Code Skill Developer Guide (diet103/claude-code-infrastructure-showcase, 10k stars) and Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Knowledge Feedback?
Stanshy (a GitHub user) maintains it in Stanshy/AgentHub, which has 202 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on April 9, 2026.
Source: Stanshy/AgentHub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.