Agent skill

Implementation Plan Authoring

by makifbaysal in makifbaysal/tasktrooper

A skill your agent uses when you write the plan section of an analiz report - steps that pin files, signatures, tests and verify commands, nothing more

Apache-2.0Auto-check passedAgent Workflows

Install Implementation Plan Authoring

skills CLI
$ npx skills add makifbaysal/tasktrooper --skill implementation-plan-authoring -a claude-code

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

GitHub CLI
$ gh skill install makifbaysal/tasktrooper implementation-plan-authoring --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/makifbaysal/tasktrooper.git skills-src && mkdir -p .claude/skills && cp -r skills-src/catalog/agents/system-architect/skills/implementation-plan-authoring .claude/skills/implementation-plan-authoring && 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
implementation-plan-authoring
GitHub stars
109
Token cost
~1.9k tokens
SKILL.md length
851 words
Files
1
Skills in repo
99
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when you write the plan section of an analiz report - steps that pin files, signatures, tests and verify commands, nothing more

  • Works in 4 steps: Design coverage — for each requirement… → Placeholder scan — search the plan for… → Type consistency — names/signatures used… → …
  • You write the plan section of an analiz report - steps that pin files
  • SKILL.md covers Overview, File Structure First, Task Right-Sizing and Plan Header (mandatory), plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Implementation Plan Authoring is an agent skill from makifbaysal/tasktrooper. Use when you write the plan section of an analiz report - steps that pin files, signatures, tests and verify commands, nothing more

Its SKILL.md is about 1.9k 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 Planning. The repository describes itself as: Local-first agent platform: board + role agents + agent CLI runs (Claude Code, Cursor, Antigravity, OpenCode) or local and API models (Ollama, LM Studio), all on your own Mac. The licence is Apache-2.0.

When your agent uses it

  • You write the plan section of an analiz report - steps that pin files
  • Tests and verify commands

Example prompts

  • “/implementation-plan-authoring”

Workflow steps

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

  1. Design coverage — for each requirement in the design sections, point to the step that implements it; add steps for gaps.
  2. Placeholder scan — search the plan for the patterns above; fix them.
  3. Type consistency — names/signatures used in later tasks match their definitions in earlier tasks (clearLayers() in Task 3 but…
  4. Proportion — if code blocks make up most of the section, the plan has become a transcript of the program instead of a set of unambiguous…

What it can do on your machine

Read from SKILL.md and the folder at commit 09f6258. 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 html).

    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

Implementation Plan Authoring loads about 1.9k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 851 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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 makifbaysal/tasktrooper at commit 09f6258, republished under its Apache-2.0 licence (© makifbaysal). 851 words, ~1,906 tokens.

Download SKILL.mdSave it as .claude/skills/implementation-plan-authoring/SKILL.md (or your agent's skills folder).
name
implementation-plan-authoring
description
Use when you write the `plan` section of an analiz report - steps that pin files, signatures, tests and verify commands, nothing more
category
architecture
source
obra/superpowers (MIT), adapted

Implementation Plan Authoring

Overview

From the design sections, write the plan section of the ONE analysis report (analiz-html-report) — the same HTML document attached with add_task_document, format: "html", titled analiz: <YYYY-MM-DD> <topic>. Never a separate plan: … document and never a file in the repo (you do not write or commit files during analysis). Write for a skilled developer who knows NOTHING about this codebase or problem domain and has questionable taste: document every file to touch, every interface, every command. DRY. YAGNI. TDD. Frequent commits — those commits are the implementer's, made later against the plan; the plan itself is never committed.

File Structure First

Before defining tasks, map every file the plan creates or modifies and what each is responsible for — this locks in the decomposition:

  • One clear responsibility per file; prefer smaller focused files over catch-alls.
  • Files that change together live together; split by responsibility, not technical layer.
  • In existing code follow established patterns — don't unilaterally restructure.

Task Right-Sizing

A task is the smallest unit that carries its own test cycle and an independently testable deliverable. Fold setup/scaffolding into the task whose deliverable needs it. Split only where a reviewer could reject one task while approving its neighbor.

Plan Header (mandatory)

The plan section opens with the goal, architecture and constraints before its first step:

html
<section id="plan">
  <h2>Implementation plan</h2>
  <p><strong>Goal:</strong> one sentence. <strong>Architecture:</strong> 2–3 sentences. <strong>Tech stack:</strong> key technologies.</p>
  <h3 id="plan-constraints">Global constraints</h3>
  <ul><li>Project-wide rules copied VERBATIM from the design — version floors, locale/copy rules, layer boundaries — one line each. Every step implicitly includes this list.</li></ul>
  <h3 id="plan-review-focus">Review Focus</h3>
  <ul><li>Up to 5 inputs or conditions a real user will hit that no step's test covers — empty list, duplicate submit, a zero/negative amount, missing permission, a timeout — each assigned to the step whose test should cover it.</li></ul>
  <ol class="steps"> … </ol>
</section>

Review Focus exists because the spec implies inputs the steps don't always test for. List the ones a reviewer should check for explicitly; an empty list here is a claim that every edge case the spec implies is already tested somewhere in the plan.

Task Structure

Each task is one step — <li id="step-N"> in <ol class="steps"> — and lists:

  • Files: exact paths — Create / Modify (with line ranges when known) / Test.
  • Interfaces: Consumes (what it uses from earlier tasks — exact signatures) and Produces (what later tasks rely on — exact names, parameter and return types). An implementer sees only their own task; this block is how they learn neighboring names. A reference to another step means "use that step's Interfaces block" — never repeat that step's code here.
  • Steps as checkboxes, one action each (2–5 min): write the failing test (show the test code) → run it, expect FAIL with the expected message → write minimal implementation → run it, expect PASS → commit (show the command).

What a Step Contains

A step is unambiguous, not complete — the implementer writes exactly one reasonable thing from it, nothing is invented, but it is not a transcript of the program:

  • A test step gives the test name and its assertions as code — this one is always code, because "write a test" without the assertions is not a test.
  • A code step gives the exact signature, the file, and any value the spec pins (a constant, a column name, an error type). The body appears only when the signature and the tests do not determine it on their own — an algorithm, a non-obvious ordering, a tricky edge case. A CRUD method whose body is "call the repo and return" does not need its body spelled out; its signature and test do.
  • A verify step gives the command and what output means pass.
Show full SKILL.md (335 more words)Show less

No Placeholders

These are plan failures — never write them:

  • "TBD", "TODO", "implement later", "fill in details"
  • "Add appropriate error handling" / "handle edge cases"
  • "Write tests for the above" without the actual test code
  • "Similar to Task N: repeat the code" — point at that task's Interfaces block instead; tasks may be read out of order
  • References to types or functions not defined in any task

Worked Example (one task, bite-sized)

html
<li id="step-2">
  <h3>TaskExporter service <span class="tag">backend-api</span></h3>
  <p><strong>Files:</strong> create <code>internal/application/export/service.go</code>; test <code>internal/application/export/service_test.go</code></p>
  <p><strong>Consumes:</strong> <code>TaskRepository.ListByProject(ctx, id) ([]Task, error)</code> (step 1) · <strong>Produces:</strong> <code>Export(ctx, projectID uuid.UUID) ([]byte, error)</code></p>
  <ol>
    <li>Failing test:
<pre><code>func (s *ExportSuite) TestExport_encodesHeaderAndRows() {
    s.repo.EXPECT().ListByProject(mock.Anything, s.pid).Return([]Task{{Title:"A"}}, nil)
    csv, err := s.svc.Export(s.ctx, s.pid)
    s.NoError(err); s.Contains(string(csv), "id,title,status,created_at"); s.Contains(string(csv), "A")
}</code></pre></li>
    <li>Run <code>go test ./internal/application/export/... -run TestExport</code> → FAIL (Export undefined)</li>
    <li>Minimal implementation (constructor + Export encoding header+rows)</li>
    <li>Run → PASS</li>
    <li>Commit: <code>feat: add TaskExporter service</code></li>
  </ol>
</li>

The test is code, the signature is exact, and the body is omitted because "encode header + rows" is exactly what the test already pins — nothing left for the implementer to invent.

Contrast the ❌ version of the same step: "Steps: write tests for TaskExporter; implement it similar to the existing ProjectExporter; add appropriate error handling; run tests." No test code, no signature, no file, "similar to" points at code the implementer has to go find themselves, and "appropriate error handling" is a guess — four plan failures in one step.

Verify commands (the command inside any "Run …" step) come from list_component_checks for the repository (the repo's own CI-equivalent local commands) or, failing that, get_project_brief — never invented from memory. An invented command is a plan failure the same as a placeholder: the implementer runs it, it doesn't exist, and the step is useless.

Self-Review (mandatory)

  1. Design coverage — for each requirement in the design sections, point to the step that implements it; add steps for gaps.
  2. Placeholder scan — search the plan for the patterns above; fix them.
  3. Type consistency — names/signatures used in later tasks match their definitions in earlier tasks (clearLayers() in Task 3 but clearFullLayers() in Task 7 is a bug).
  4. Proportion — if code blocks make up most of the section, the plan has become a transcript of the program instead of a set of unambiguous steps: cut bodies back to signature + test + verify command wherever the test already determines the body.

Fix issues inline, make the split section match the steps, then the report is ready for the human; task-decomposition comes only after approval.

© makifbaysal, Apache-2.0. 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 catalog/agents/system-architect/skills/implementation-plan-authoring of makifbaysal/tasktrooper.

Open the folder on GitHubat commit 09f6258

Compare with similar skills

Implementation Plan Authoring 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.

Implementation Plan Authoring compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implementation Plan Authoring this skillmakifbaysal/tasktrooper109—~1.9kAutomated safety check: PassApache-2.0
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills103k6 repos~3.8kAutomated safety check: PassMIT
OpenSpec Guided OnboardingFission-AI/OpenSpec71k1 repos~4.5kAutomated safety check: PassMIT
Writing Plansgeeksblabla/stateofdev.ma16357 repos~661Automated safety check: PassNone
Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone

Similar skills

  • Executing Plans Inline

    obra/superpowers

    Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.

    296k GitHub starsUsed in 2 repos~5.1k tokens
    Agent WorkflowsAuto-check passed
  • Interview Me

    addyosmani/agent-skills

    Asks one question at a time, each with a best guess attached, until the agent is about 95 percent sure what you really want, before any plan, spec or code.

    103k GitHub starsUsed in 6 repos~3.8k tokens
    Agent WorkflowsAuto-check passed
  • OpenSpec Guided Onboarding

    Fission-AI/OpenSpec

    Walks you through a complete OpenSpec workflow cycle with narration while doing real work in your codebase.

    71k GitHub starsUsed in 1 repo~4.5k tokens
    Agent WorkflowsAuto-check passed
  • Writing Plans

    geeksblabla/stateofdev.ma

    A skill your agent uses when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file…

    163 GitHub starsUsed in 57 repos~661 tokens
    Agent WorkflowsAuto-check passed
  • Subagent Driven Development

    Asvarox/allkaraoke

    A skill your agent uses when executing implementation plans with independent tasks in the current session

    261 GitHub starsUsed in 38 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • Planning With Files

    jd-opensource/JoySafeter

    Implements Manus-style file-based planning for complex tasks.

    313 GitHub starsUsed in 19 repos~1.8k tokens
    Agent WorkflowsAuto-check: notes

More from makifbaysal/tasktrooper

All 99 skills in this repo
  • API Contract Testing

    makifbaysal/tasktrooper

    A skill your agent uses when a task adds or changes an HTTP endpoint, its request/response shape, status codes, auth or error format - the request matrix, curl templates and what counts as a…

    109 GitHub starsUsed in 1 repo~771 tokens
    Auto-check passed
  • Acceptance Criteria Gwt

    makifbaysal/tasktrooper

    A skill your agent uses when writing acceptance criteria for a task - express each as an observable Given/When/Then that QA can execute, including negative cases

    109 GitHub stars~1.7k tokensUpdated today
    Auto-check passed
  • Accessibility Check

    makifbaysal/tasktrooper

    A skill your agent uses when a task changes any screen, form, dialog, menu or control - Lighthouse/axe scan of the changed screens, a keyboard walk, and the thresholds that fail a task

    109 GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Analiz Gate

    makifbaysal/tasktrooper

    A skill your agent uses when deciding whether a request needs an analiz task before implementation - the conditions that require the architect's analysis versus going straight to implementation

    109 GitHub stars~641 tokensUpdated today
    Auto-check passed
  • Analiz HTML Report

    makifbaysal/tasktrooper

    A skill your agent uses when you write or revise the analiz deliverable - the ONE self-contained HTML report (spec and plan as sections) a human reviews passage by passage

    109 GitHub stars~3.9k tokensUpdated today
    Auto-check passed
  • Analiz Human Review Gate

    makifbaysal/tasktrooper

    A skill your agent uses when you finish an analiz report - the human must approve the analysis before any implementation task is created, via the analizreview column

    109 GitHub stars~2.2k tokensUpdated today
    Auto-check passed

Categories

Questions about Implementation Plan Authoring

What does Implementation Plan Authoring do?

A skill your agent uses when you write the plan section of an analiz report - steps that pin files, signatures, tests and verify commands, nothing more. Implementation Plan Authoring is an agent skill from makifbaysal/tasktrooper.

When should I use Implementation Plan Authoring?

Implementation Plan Authoring fits situations like: you write the plan section of an analiz report - steps that pin files; tests and verify commands.

How do I install Implementation Plan Authoring in Claude Code?

Run `npx skills add makifbaysal/tasktrooper --skill implementation-plan-authoring -a claude-code`. Or copy the skill folder (catalog/agents/system-architect/skills/implementation-plan-authoring in makifbaysal/tasktrooper) into .claude/skills/implementation-plan-authoring in your project. Claude Code loads it when a task matches its description.

How do I install Implementation Plan Authoring in Codex?

Run `npx skills add makifbaysal/tasktrooper --skill implementation-plan-authoring -a codex`. Or copy the skill folder (catalog/agents/system-architect/skills/implementation-plan-authoring in makifbaysal/tasktrooper) into .agents/skills/implementation-plan-authoring in your project. Codex loads it when a task matches its description.

Can I use Implementation Plan Authoring 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 makifbaysal/tasktrooper --skill implementation-plan-authoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementation-plan-authoring, .gemini/skills/implementation-plan-authoring, .github/skills/implementation-plan-authoring and .opencode/skills/implementation-plan-authoring in your project.

What does Implementation Plan Authoring need to run?

SKILL.md names no scripts, command-line tools or credentials: Implementation Plan Authoring is instructions for the agent only.

Does Implementation Plan Authoring 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 Implementation Plan Authoring 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 Implementation Plan Authoring use?

Implementation Plan Authoring is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Implementation Plan Authoring use?

About 1.9k tokens (SKILL.md is roughly 7.6k 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 Implementation Plan Authoring?

Skills that share tags, products or a category with Implementation Plan Authoring: Executing Plans Inline (obra/superpowers, 296k stars), Interview Me (addyosmani/agent-skills, 103k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 71k stars) and Writing Plans (geeksblabla/stateofdev.ma, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implementation Plan Authoring?

makifbaysal (a GitHub user) maintains it in makifbaysal/tasktrooper, which has 109 GitHub stars. The repository holds 99 skills in this directory. The repository was last updated on October 7, 2026.

Source: makifbaysal/tasktrooper on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.