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Agent skill

QA Lead

by johnku2011 in johnku2011/boilerplates-with-ai-skills

A skill your agent uses when acting as a startup QA lead for acceptance checks, release risk, regression focus, and verification evidence.

MITAuto-check passed

Install QA Lead

skills CLI
$ npx skills add johnku2011/boilerplates-with-ai-skills --skill qa-lead -a claude-code

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

GitHub CLI
$ gh skill install johnku2011/boilerplates-with-ai-skills qa-lead --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/johnku2011/boilerplates-with-ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/shared/skills/qa-lead .claude/skills/qa-lead && 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
qa-lead
GitHub stars
240
Token cost
~278 tokens
SKILL.md length
114 words
Files
1
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when acting as a startup QA lead for acceptance checks, release risk, regression focus, and verification evidence.

  • Works in 5 steps: Restate the user-facing behavior that… → Identify the highest-risk regression… → Prefer concrete reproduction steps and… → …
  • Acting as a startup QA lead for acceptance checks
  • SKILL.md covers Required Companion Skills and Operating Mode
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

QA Lead is an agent skill from johnku2011/boilerplates-with-ai-skills. Use when acting as a startup QA lead for acceptance checks, release risk, regression focus, and verification evidence.

Its SKILL.md is about 280 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Runnable verification commands documented in AGENTS.md

The licence is MIT.

When your agent uses it

  • Acting as a startup QA lead for acceptance checks
  • Regression focus
  • Verification evidence

Example prompts

  • “/qa-lead”

Requirements

  • Compatibility (from SKILL.md): Runnable verification commands documented in AGENTS.md

Workflow steps

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

  1. Restate the user-facing behavior that must be true.
  2. Identify the highest-risk regression paths.
  3. Prefer concrete reproduction steps and command output over broad assurance.
  4. Separate verified facts from residual risk.
  5. Block release only on risks that can plausibly hurt the user or business.

What it can do on your machine

Read from SKILL.md and the folder at commit 475dc6a. 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.

    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.

  • Compatibility

    Runnable verification commands documented in AGENTS.md

    From compatibility in the SKILL.md frontmatter.

Context cost

QA Lead loads about 278 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 114 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~278

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 johnku2011/boilerplates-with-ai-skills at commit 475dc6a, republished under its MIT licence (© johnku2011). 114 words, ~278 tokens.

Download SKILL.mdSave it as .claude/skills/qa-lead/SKILL.md (or your agent's skills folder).
name
qa-lead
description
Use when acting as a startup QA lead for acceptance checks, release risk, regression focus, and verification evidence.
compatibility
Runnable verification commands documented in AGENTS.md
license
MIT
metadata.suite
roles
metadata.role
qa-lead

QA Lead

Use this role when the user needs a release-risk lens. Your job is to prove what works, expose what is untested, and keep verification connected to real user behavior.

Required Companion Skills

  • mattpocock:code-review for review posture and risk ordering.
  • mattpocock:diagnosing-bugs for reproducible failure analysis.
  • superpowers:verification-before-completion before claiming acceptance.

If a companion skill is unavailable, stop and tell the user which dependency is missing.

Operating Mode

  1. Restate the user-facing behavior that must be true.
  2. Identify the highest-risk regression paths.
  3. Prefer concrete reproduction steps and command output over broad assurance.
  4. Separate verified facts from residual risk.
  5. Block release only on risks that can plausibly hurt the user or business.

© johnku2011, 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 shared/skills/qa-lead of johnku2011/boilerplates-with-ai-skills.

Open the folder on GitHubat commit 475dc6a

Compare with similar skills

QA Lead 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.

QA Lead compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
QA Lead this skilljohnku2011/boilerplates-with-ai-skills240—~278Automated safety check: PassMIT
Lead Magnetssickn33/agentic-awesome-skills47k2 repos~2.8kAutomated safety check: PassMIT
Startup Canvasphuryn/pm-skills27k—~1.6kAutomated safety check: PassMIT
Lead Magnetscoreyhaines31/marketingskills54k5 repos~2.8kAutomated safety check: PassMIT
Apify Lead Generationsickn33/agentic-awesome-skills47k2 repos~1.2kAutomated safety check: NotesMIT
QA Acceptancepaperclipai/paperclip99k—~964Automated safety check: PassMIT

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Questions about QA Lead

What does QA Lead do?

A skill your agent uses when acting as a startup QA lead for acceptance checks, release risk, regression focus, and verification evidence. QA Lead is an agent skill from johnku2011/boilerplates-with-ai-skills. Use when acting as a startup QA lead for acceptance checks, release risk, regression focus, and verification evidence.

When should I use QA Lead?

QA Lead fits situations like: acting as a startup QA lead for acceptance checks; regression focus; verification evidence.

How do I install QA Lead in Claude Code?

Run `npx skills add johnku2011/boilerplates-with-ai-skills --skill qa-lead -a claude-code`. Or copy the skill folder (shared/skills/qa-lead in johnku2011/boilerplates-with-ai-skills) into .claude/skills/qa-lead in your project. Claude Code loads it when a task matches its description.

How do I install QA Lead in Codex?

Run `npx skills add johnku2011/boilerplates-with-ai-skills --skill qa-lead -a codex`. Or copy the skill folder (shared/skills/qa-lead in johnku2011/boilerplates-with-ai-skills) into .agents/skills/qa-lead in your project. Codex loads it when a task matches its description.

Can I use QA Lead 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 johnku2011/boilerplates-with-ai-skills --skill qa-lead -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qa-lead, .gemini/skills/qa-lead, .github/skills/qa-lead and .opencode/skills/qa-lead in your project.

What does QA Lead need to run?

SKILL.md names no scripts, command-line tools or credentials: QA Lead is instructions for the agent only. Compatibility (from SKILL.md): Runnable verification commands documented in AGENTS.md.

Does QA Lead 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 QA Lead 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 QA Lead use?

QA Lead is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does QA Lead use?

About 278 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.

What are the alternatives to QA Lead?

Skills that share tags, products or a category with QA Lead: Lead Magnets (sickn33/agentic-awesome-skills, 47k stars), Startup Canvas (phuryn/pm-skills, 27k stars), Lead Magnets (coreyhaines31/marketingskills, 54k stars) and Apify Lead Generation (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains QA Lead?

johnku2011 (a GitHub user) maintains it in johnku2011/boilerplates-with-ai-skills, which has 240 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on August 24, 2026.

Source: johnku2011/boilerplates-with-ai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.