Agent skill

08 Three Amigos

by ai-driven-dev in ai-driven-dev/framework

Assesses an Epic or Story through one product, delivery, or quality lens, then reconciles three caller-supplied reports.

MITAuto-check passed

Install 08 Three Amigos

skills CLI
$ npx skills add ai-driven-dev/framework --skill 08-three-amigos -a claude-code

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

GitHub CLI
$ gh skill install ai-driven-dev/framework 08-three-amigos --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/ai-driven-dev/framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/aidd-pm/skills/08-three-amigos .claude/skills/08-three-amigos && 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
08-three-amigos
GitHub stars
513
Token cost
~282 tokens
SKILL.md length
75 words
Files
5 (incl. references)
Skills in repo
46
Repo updated
First seen
Licence
MIT

At a glance

Assesses an Epic or Story through one product, delivery, or quality lens, then reconciles three caller-supplied reports.

  • The user wants to refine one before a backlog change
  • SKILL.md covers Actions and Transversal rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

08 Three Amigos is an agent skill from ai-driven-dev/framework. Assesses an Epic or Story through one product, delivery, or quality lens, then reconciles three caller-supplied reports. Use when the user wants to refine one before a backlog change. Not for spawning or writing.

Its SKILL.md is about 280 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `actions/01-assess.md`, `actions/02-reconcile.md` and `references/assessment.md`).

The repository describes itself as: Marketplace Framework AI-Driven Dev : Context Engineering, Plugins, Agents, Skills, Hooks, Templates, SDLC. The licence is MIT.

When your agent uses it

  • The user wants to refine one before a backlog change

Example prompts

  • “Use the 08-three-amigos skill to assess an Epic or Story through one product, delivery, or quality lens, then reconciles three caller-supplied reports”
  • “/08-three-amigos”

What it can do on your machine

Read from SKILL.md and the folder at commit 6e30640. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are mermaid).

    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

08 Three Amigos loads about 282 tokens when it runs, and up to ~720 if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 75 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~282
With references · SKILL.md plus every file in references/, read only if the agent opens them
~720

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 ai-driven-dev/framework at commit 6e30640, republished under its MIT licence (© ai-driven-dev). 75 words, ~282 tokens.

Download SKILL.mdSave it as .claude/skills/08-three-amigos/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
08-three-amigos
description
Assesses an Epic or Story through one product, delivery, or quality lens, then reconciles three caller-supplied reports. Use when the user wants to refine one before a backlog change. Not for spawning or writing.
argument-hint
artifact | reports

Three Amigos

mermaid
flowchart LR
  target([Epic or Story]) --> assess --> report([one role report])
  reports([three role reports]) --> reconcile --> result([findings, conflicts, questions])

Actions

Run the flow above. Read only the next action file.

ActionDoes
assessapply one requested lens to an Epic or Story
reconcilereconcile three independent, caller-supplied reports

Transversal rules

  • Run one route per invocation.
  • Never spawn, delegate, persist, or mutate.
  • Treat roles as analytical lenses, not human authorities.
  • Ground every finding and question in cited evidence; never invent a decision.
  • Return proposals only; the caller decides what to do with them.

© ai-driven-dev, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in plugins/aidd-pm/skills/08-three-amigos of ai-driven-dev/framework.

  • SKILL.md
  • actions/01-assess.md
  • actions/02-reconcile.md
  • references/assessment.md
  • references/reconciliation.md

Open the folder on GitHubat commit 6e30640

Compare with similar skills

08 Three Amigos 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.

08 Three Amigos compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
08 Three Amigos this skillai-driven-dev/framework513—~282Automated safety check: PassMIT
Create StoriesDonchitos/Claude-Code-Game-Studios26k—~7.2kAutomated safety check: PassMIT
Bmad Epics And Storiesaj-geddes/claude-code-bmad-skills487—~2.2kAutomated safety check: NotesCustom licence
Create Epics from Game Design DocsDonchitos/Claude-Code-Game-Studios26k—~4.3kAutomated safety check: PassMIT
Story ReadinessDonchitos/Claude-Code-Game-Studios26k—~6.9kAutomated safety check: PassMIT
Job Storiesphuryn/pm-skills27k—~743Automated safety check: PassMIT

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  • 01 Plan

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  • 02 Backlog

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  • 00 Onboard

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  • 01 Acceptance QA

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Questions about 08 Three Amigos

What does 08 Three Amigos do?

Assesses an Epic or Story through one product, delivery, or quality lens, then reconciles three caller-supplied reports. 08 Three Amigos is an agent skill from ai-driven-dev/framework. Assesses an Epic or Story through one product, delivery, or quality lens, then reconciles three caller-supplied reports.

When should I use 08 Three Amigos?

08 Three Amigos fits situations like: the user wants to refine one before a backlog change.

How do I install 08 Three Amigos in Claude Code?

Run `npx skills add ai-driven-dev/framework --skill 08-three-amigos -a claude-code`. Or copy the skill folder (plugins/aidd-pm/skills/08-three-amigos in ai-driven-dev/framework) into .claude/skills/08-three-amigos in your project. Claude Code loads it when a task matches its description.

How do I install 08 Three Amigos in Codex?

Run `npx skills add ai-driven-dev/framework --skill 08-three-amigos -a codex`. Or copy the skill folder (plugins/aidd-pm/skills/08-three-amigos in ai-driven-dev/framework) into .agents/skills/08-three-amigos in your project. Codex loads it when a task matches its description.

Can I use 08 Three Amigos 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 ai-driven-dev/framework --skill 08-three-amigos -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/08-three-amigos, .gemini/skills/08-three-amigos, .github/skills/08-three-amigos and .opencode/skills/08-three-amigos in your project.

What does 08 Three Amigos need to run?

SKILL.md names no scripts, command-line tools or credentials: 08 Three Amigos is instructions for the agent only.

Does 08 Three Amigos 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 08 Three Amigos 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 08 Three Amigos use?

08 Three Amigos 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 08 Three Amigos use?

About 282 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 438 tokens, read only when the agent opens those files.

What are the alternatives to 08 Three Amigos?

Skills that share tags, products or a category with 08 Three Amigos: Create Stories (Donchitos/Claude-Code-Game-Studios, 26k stars), Bmad Epics And Stories (aj-geddes/claude-code-bmad-skills, 487 stars), Create Epics from Game Design Docs (Donchitos/Claude-Code-Game-Studios, 26k stars) and Story Readiness (Donchitos/Claude-Code-Game-Studios, 26k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains 08 Three Amigos?

ai-driven-dev (a GitHub organization) maintains it in ai-driven-dev/framework, which has 513 GitHub stars. The repository holds 46 skills in this directory. The repository was last updated on October 8, 2026.

Source: ai-driven-dev/framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.