Agent skill

Sprint Retro

by Stanshy in Stanshy/AgentHub

Generate sprint retrospective by analyzing section 10 data. An agent skill from Stanshy/AgentHub.

MITAuto-check passedProduct & Project Management

Install Sprint Retro

skills CLI
$ npx skills add Stanshy/AgentHub --skill sprint-retro -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Stanshy/AgentHub sprint-retro --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.knowledge/company/skill-templates/sprint-retro .claude/skills/sprint-retro && rm -rf skills-src

Use ~/.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/

Facts

Skill name
sprint-retro
GitHub stars
202
Token cost
~160 tokens
SKILL.md length
50 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

Generate sprint retrospective by analyzing section 10 data. An agent skill from Stanshy/AgentHub.

  • Works in 2 steps: 分析並產出回顧 → 寫入 proposal/sprint$0-retro.md
  • Tasks that involve Retrospectives
  • SKILL.md covers 使用方式, 參數 and 執行步驟
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sprint Retro is an agent skill from Stanshy/AgentHub. Generate sprint retrospective by analyzing section 10 data

Its SKILL.md is about 160 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 Product & Project Management, covering Retrospectives and 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 Retrospectives
  • Tasks that involve Skill authoring

Example prompts

  • “/sprint-retro”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Glob, Grep

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. 分析並產出回顧
  2. 寫入 proposal/sprint$0-retro.md

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:

    • Read
    • Write
    • Glob
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    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

Sprint Retro loads about 160 tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 50 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~18
When it runs · the whole SKILL.md, loaded when a task matches
~160

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 passed

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.

SKILL.md

The full file from Stanshy/AgentHub at commit 5300820, republished under its MIT licence (© Stanshy). 50 words, ~160 tokens.

Download SKILL.mdSave it as .claude/skills/sprint-retro/SKILL.md (or your agent's skills folder).
name
sprint-retro
description
Generate sprint retrospective by analyzing section 10 data
allowed-tools
Read, Write, Glob, Grep

Sprint 回顧

自動帶入第 10 節數據,產出回顧報告。

使用方式

/sprint-retro <sprint-number>

參數

  • $0: Sprint 編號

執行步驟

  1. 讀取 dev-plan 第 10 節: !cat proposal/sprint$0-dev-plan.md 2>/dev/null | grep -A 100 "任務與審核紀錄"

  2. 讀取提案書驗收標準: !cat proposal/sprint$0-proposal.md 2>/dev/null | grep -A 30 "驗收標準"

  3. 分析並產出回顧:

    • 完成狀況:任務完成率、準時率
    • 品質指標:Review 通過率、Gate 通過率
    • 時程分析:預估 vs 實際
    • 做得好的:值得延續的做法
    • 需改進的:下次 Sprint 要注意的
    • 行動項目:具體改善措施
  4. 寫入 proposal/sprint$0-retro.md

© 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/sprint-retro of Stanshy/AgentHub.

Open the folder on GitHubat commit 5300820

Compare with similar skills

Sprint Retro 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.

Sprint Retro compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sprint Retro this skillStanshy/AgentHub202—~160Automated safety check: PassMIT
Skill Debriefcomputerlovetech/agr451—~2.2kAutomated safety check: PassMIT
Skill Retrokenneth-liao/ai-launchpad-marketplace126—~2.1kAutomated safety check: PassNone
Skill ManagementSzotasz/marveen117—~1.9kAutomated safety check: PassMIT
Speckit Opsmill Retrospectopsmill/infrahub534—~2.3kAutomated safety check: PassApache-2.0
Retrospective Codifymizchi/skills360—~3.2kAutomated safety check: PassNone

Similar skills

  • Skill Debrief

    computerlovetech/agr

    Debrief an AI agent skill (SKILL.md) after using it — capture session feedback or a retrospective and fold it back into the skill.

    451 GitHub stars~2.2k tokensUpdated 2 mo ago
    Agent WorkflowsAuto-check passed
  • Skill Retro

    kenneth-liao/ai-launchpad-marketplace

    A skill your agent uses when reviewing how skills performed during a session, when the user wants to analyze skill invocations and identify improvements, or when the user says "skill retro", "review…

    126 GitHub stars~2.1k tokensUpdated 6 mo ago
    Product & Project ManagementAuto-check passed
  • Skill Management

    Szotasz/marveen

    List, inspect, patch, or delete skills from ~/.claude/skills/.

    117 GitHub stars~1.9k tokensUpdated today
    Product & Project ManagementAuto-check passed
  • Run a session retrospective that surfaces context-management gaps and routes them to approved follow-up actions.

    534 GitHub stars~2.3k tokensUpdated yesterday
    Product & Project ManagementAuto-check passed
  • Pair "what failed first" with "what finally worked" and codify the should-have-known-it insight as an ast-grep rule, a skill, or a CLAUDE.md rule.

    360 GitHub stars~3.2k tokensUpdated 9 days ago
    Product & Project ManagementAuto-check passed
  • Retro

    jellydn/my-ai-tools

    Review a coding session and propose environment changes that prevent repeated agent mistakes.

    123 GitHub stars~1.7k tokensUpdated yesterday
    Product & Project ManagementAuto-check passed

More from Stanshy/AgentHub

All 23 skills in this repo
  • Dev Plan

    Stanshy/AgentHub

    Generate a development plan with task breakdown and section 10 tracking tables

    202 GitHub stars~686 tokensUpdated 6 mo ago
    Auto-check: notes
  • Knowledge Feedback

    Stanshy/AgentHub

    Scan child projects for pitfalls and propose company standard updates

    202 GitHub stars~549 tokensUpdated 6 mo ago
    Auto-check: notes
  • Product Diagnosis

    Stanshy/AgentHub

    Six-question diagnostic framework for G0 pre-check — validate product direction before development starts

    202 GitHub stars~690 tokensUpdated 6 mo ago
    Auto-check passed
  • Project Kickoff

    Stanshy/AgentHub

    Initialize new project with CLAUDE.md, .knowledge/ structure, company rules, and git

    202 GitHub stars~528 tokensUpdated 6 mo ago
    Auto-check: notes
  • Review

    Stanshy/AgentHub

    L1 internal review with auto-detection, design comparison, and Gate escalation path

    202 GitHub stars~854 tokensUpdated 6 mo ago
    Auto-check: notes
  • Sop Plan

    Stanshy/AgentHub

    L1 計畫模式 SOP — 強制上下文載入 + Plan Mode 評估 + 任務拆解. An agent skill from Stanshy/AgentHub.

    202 GitHub stars~437 tokensUpdated 6 mo ago
    Auto-check: notes

Questions about Sprint Retro

What does Sprint Retro do?

Generate sprint retrospective by analyzing section 10 data. An agent skill from Stanshy/AgentHub. Sprint Retro is an agent skill from Stanshy/AgentHub.

When should I use Sprint Retro?

Sprint Retro fits situations like: tasks that involve Retrospectives; tasks that involve Skill authoring.

How do I install Sprint Retro in Claude Code?

Run `npx skills add Stanshy/AgentHub --skill sprint-retro -a claude-code`. Or copy the skill folder (.knowledge/company/skill-templates/sprint-retro in Stanshy/AgentHub) into .claude/skills/sprint-retro in your project. Claude Code loads it when a task matches its description.

How do I install Sprint Retro in Codex?

Run `npx skills add Stanshy/AgentHub --skill sprint-retro -a codex`. Or copy the skill folder (.knowledge/company/skill-templates/sprint-retro in Stanshy/AgentHub) into .agents/skills/sprint-retro in your project. Codex loads it when a task matches its description.

Can I use Sprint Retro 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 sprint-retro -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sprint-retro, .gemini/skills/sprint-retro, .github/skills/sprint-retro and .opencode/skills/sprint-retro in your project.

What does Sprint Retro need to run?

SKILL.md names no scripts, command-line tools or credentials: Sprint Retro is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Glob, Grep.

Does Sprint Retro 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 Sprint Retro safe to install?

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.

What licence does Sprint Retro use?

Sprint Retro 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 Sprint Retro use?

About 160 tokens (SKILL.md is roughly 640 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 Sprint Retro?

Skills that share tags, products or a category with Sprint Retro: Skill Debrief (computerlovetech/agr, 451 stars), Skill Retro (kenneth-liao/ai-launchpad-marketplace, 126 stars), Skill Management (Szotasz/marveen, 117 stars) and Speckit Opsmill Retrospect (opsmill/infrahub, 534 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sprint Retro?

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.