Agent skill

Specialist Test Planner

by HoangNguyen0403 in HoangNguyen0403/agent-skills-standard

Turns approved AC/SRS into an executable test plan (scenarios, seed, selector gaps) for the test-loop workflow.

MITAuto-check passedTesting & QA

Install Specialist Test Planner

skills CLI
$ npx skills add HoangNguyen0403/agent-skills-standard --skill specialist-test-planner -a claude-code

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

GitHub CLI
$ gh skill install HoangNguyen0403/agent-skills-standard specialist-test-planner --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/HoangNguyen0403/agent-skills-standard.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/specialists/specialist-test-planner .claude/skills/specialist-test-planner && 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
specialist-test-planner
GitHub stars
572
Token cost
~582 tokens
SKILL.md length
232 words
Files
2
Skills in repo
211
Repo updated
First seen
Licence
MIT

At a glance

Turns approved AC/SRS into an executable test plan (scenarios, seed, selector gaps) for the test-loop workflow.

  • Works in 5 steps: Load AC-* and SRS lanes for the slug;… → Locate the nearest existing E2E test… → Write one scenario per AC condition with… → …
  • Independent test-plan generation from stable requirements
  • SKILL.md covers Priority: P1 (HIGH), Role, Budget and Steps, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Specialist Test Planner is an agent skill from HoangNguyen0403/agent-skills-standard. Turns approved AC/SRS into an executable test plan (scenarios, seed, selector gaps) for the test-loop workflow. Use for independent test-plan generation from stable requirements.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `evals/evals.json`).

It sits in Testing & QA, covering Test generation. The repository describes itself as: A collection of Agent Skills Standard and Best Practice for Programming Languages, Frameworks that help our AI Agent follow best practies on frameworks and programming laguages. The licence is MIT.

When your agent uses it

  • Independent test-plan generation from stable requirements
  • Tasks that involve Test generation

Example prompts

  • “Use the specialist-test-planner skill to turn approved AC/SRS into an executable test plan (scenarios, seed, selector gaps) for the test-loop workflow”
  • “/specialist-test-planner”

Workflow steps

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

  1. Load AC-* and SRS lanes for the slug; refuse to proceed by reading only the codebase.
  2. Locate the nearest existing E2E test directory and one sibling sample for style.
  3. Write one scenario per AC condition with Steps/Expected/@AC-n/priority/lane, expanded to P/N/E per…
  4. Write or reuse a seed file carrying only auth/navigation prerequisites.
  5. List every element the scenarios need that has no known stable selector as

What it can do on your machine

Read from SKILL.md and the folder at commit b529c2d. 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.

Context cost

Specialist Test Planner loads about 582 tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 232 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~582

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 HoangNguyen0403/agent-skills-standard at commit b529c2d, republished under its MIT licence (© HoangNguyen0403). 232 words, ~582 tokens.

Download SKILL.mdSave it as .claude/skills/specialist-test-planner/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
specialist-test-planner
description
Turns approved AC/SRS into an executable test plan (scenarios, seed, selector gaps) for the test-loop workflow. Use for independent test-plan generation from stable requirements.
risk_tier
L2
metadata.internal
true

Specialist: Test Planner

Priority: P1 (HIGH)

Role

Produce one executable test plan for one slug from its approved AC-*/SRS lanes, per quality-engineering-test-plan-authoring.

Budget

  • One slug per invocation; at most 15 tool calls.
  • Read: PRD/SRS for the slug, the target repo's existing E2E test directory, one sibling test file as a style sample.
  • Write only docs/srs/test-plan-[slug].md (and specs/[slug].md if Playwright agents are initialised) plus the seed skeleton file.
  • No production code, no Git, no sub-agents.
  • Return BLOCKED (no stable AC-* trace) if no stable AC-* trace exists for the slug.

Steps

  1. Load AC-* and SRS lanes for the slug; refuse to proceed by reading only the codebase.
  2. Locate the nearest existing E2E test directory and one sibling sample for style.
  3. Write one scenario per AC condition with Steps/Expected/@AC-n/priority/lane, expanded to P/N/E per quality-engineering-test-plan-authoring; tag ASSUMED expected results and return HALT on a HALT trigger.
  4. Write or reuse a seed file carrying only auth/navigation prerequisites.
  5. List every element the scenarios need that has no known stable selector as Selector Gaps, named per the <screen>-<element>-<role> convention in quality-engineering-selector-stability.

Output

text
PLAN: [path]
LANES: [web|ios|android|api, ...]
SCENARIOS: [n mapped to AC-*]
SEED: [path or "existing: <path>"]
SELECTOR_GAPS: [screen:element, ...]
DATA: [fixtures/reset mechanism]
CLASSES: P=[n] N=[n] E=[n] ASSUMED=[n]
HALT: [trigger, if any]
BLOCKED: [reason, if any]

Anti-Patterns

  • Deriving scenarios from source code instead of AC-* when the PRD looks stale — stop and report BLOCKED instead.
  • Skipping the seed file to save a step.
  • Writing test code (out of scope — that is the generator's job).
  • Inventing an Expected when the AC is silent — tag ASSUMED or return HALT.

© HoangNguyen0403, 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 1 other file in skills/specialists/specialist-test-planner of HoangNguyen0403/agent-skills-standard.

  • SKILL.md
  • evals/evals.json

Open the folder on GitHubat commit b529c2d

Compare with similar skills

Specialist Test Planner 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.

Specialist Test Planner compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Specialist Test Planner this skillHoangNguyen0403/agent-skills-standard572—~582Automated safety check: PassMIT
Emcaklofas/kicad-happy1.4k1 repos~2.8kAutomated safety check: PassMIT
Swig Testswig/swig6.3k—~2.3kAutomated safety check: PassCustom licence
Generate Test Cases342164796/generate-test-cases1201 repos~2.9kAutomated safety check: PassNone
Wioworkersio/skills204—~5.8kAutomated safety check: PassMIT
Verify Cc Safety Netkenryu42/cc-safety-net1.6k—~2kAutomated safety check: PassMIT

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Categories

Questions about Specialist Test Planner

What does Specialist Test Planner do?

Turns approved AC/SRS into an executable test plan (scenarios, seed, selector gaps) for the test-loop workflow. Specialist Test Planner is an agent skill from HoangNguyen0403/agent-skills-standard. Turns approved AC/SRS into an executable test plan (scenarios, seed, selector gaps) for the test-loop workflow.

When should I use Specialist Test Planner?

Specialist Test Planner fits situations like: independent test-plan generation from stable requirements; tasks that involve Test generation.

How do I install Specialist Test Planner in Claude Code?

Run `npx skills add HoangNguyen0403/agent-skills-standard --skill specialist-test-planner -a claude-code`. Or copy the skill folder (skills/specialists/specialist-test-planner in HoangNguyen0403/agent-skills-standard) into .claude/skills/specialist-test-planner in your project. Claude Code loads it when a task matches its description.

How do I install Specialist Test Planner in Codex?

Run `npx skills add HoangNguyen0403/agent-skills-standard --skill specialist-test-planner -a codex`. Or copy the skill folder (skills/specialists/specialist-test-planner in HoangNguyen0403/agent-skills-standard) into .agents/skills/specialist-test-planner in your project. Codex loads it when a task matches its description.

Can I use Specialist Test Planner 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 HoangNguyen0403/agent-skills-standard --skill specialist-test-planner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/specialist-test-planner, .gemini/skills/specialist-test-planner, .github/skills/specialist-test-planner and .opencode/skills/specialist-test-planner in your project.

What does Specialist Test Planner need to run?

SKILL.md names no scripts, command-line tools or credentials: Specialist Test Planner is instructions for the agent only.

Does Specialist Test Planner 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 Specialist Test Planner 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 Specialist Test Planner use?

Specialist Test Planner 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 Specialist Test Planner use?

About 582 tokens (SKILL.md is roughly 2.3k 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 Specialist Test Planner?

Skills that share tags, products or a category with Specialist Test Planner: Emc (aklofas/kicad-happy, 1.4k stars), Swig Test (swig/swig, 6.3k stars), Generate Test Cases (342164796/generate-test-cases, 120 stars) and Wio (workersio/skills, 204 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Specialist Test Planner?

HoangNguyen0403 (a GitHub user) maintains it in HoangNguyen0403/agent-skills-standard, which has 572 GitHub stars. The repository holds 211 skills in this directory. The repository was last updated on October 9, 2026.

Source: HoangNguyen0403/agent-skills-standard on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.