Agent skill

Implement

by open-octo in open-octo/octo-agent

Implement a technical design by decomposing it into dependency-ordered vertical slices, executing each with TDD red-green, reviewing each via an isolated sub-agent, and persisting progress to a…

MITAuto-check passedTesting & QA

Install Implement

skills CLI
$ npx skills add open-octo/octo-agent --skill implement -a claude-code

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

GitHub CLI
$ gh skill install open-octo/octo-agent implement --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/open-octo/octo-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/internal/skills/defaults/implement .claude/skills/implement && 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
implement
GitHub stars
125
Token cost
~2.3k tokens
SKILL.md length
1,267 words
Files
1
Skills in repo
40
Repo updated
First seen
Licence
MIT

At a glance

Implement a technical design by decomposing it into dependency-ordered vertical slices, executing each with TDD red-green, reviewing each via an isolated sub-agent, and persisting progress to a…

  • Works in 3 steps: readiness gate, then decompose → execute wave by wave → verification before the PR
  • The user has a tech design (doc
  • SKILL.md covers Inputs, State persistence, Phase 1 — readiness gate, then… and Phase 2 — execute wave by wave, plus 2 more sections
  • Calls git

What it does

Implement is an agent skill from open-octo/octo-agent. Implement a technical design by decomposing it into dependency-ordered vertical slices, executing each with TDD red-green, reviewing each via an isolated sub-agent, and persisting progress to a state file so work survives session restarts. Use when the user has a tech design (doc or settled conversation) and says "implement", "start building", "let's code this", "实现吧", "开始实现", "按这个方案做", "把设计落地".

Its SKILL.md is about 2.3k 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 Testing & QA, covering Test-driven development, Architecture decision records and Subagents. The repository describes itself as: Open-source, single-binary, self-hosted AI agent — your models and data stay on your machine. A coding agent on par with Claude Code and a personal assistant lighter than… The licence is MIT.

When your agent uses it

  • The user has a tech design (doc
  • Settled conversation) and says implement

Example prompts

  • “implement”
  • “start building”
  • “s code this”
  • “/implement”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. readiness gate, then decompose
  2. execute wave by wave
  3. verification before the PR

What it can do on your machine

Read from SKILL.md and the folder at commit fc1385f. 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

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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

Implement loads about 2.3k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 1,267 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

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 open-octo/octo-agent at commit fc1385f, republished under its MIT licence (© open-octo). 1,267 words, ~2,322 tokens.

Download SKILL.mdSave it as .claude/skills/implement/SKILL.md (or your agent's skills folder).
name
implement
description
Implement a technical design by decomposing it into dependency-ordered vertical slices, executing each with TDD red-green, reviewing each via an isolated sub-agent, and persisting progress to a state file so work survives session restarts. Use when the user has a tech design (doc or settled conversation) and says "implement", "start building", "let's code this", "实现吧", "开始实现", "按这个方案做", "把设计落地".

Take a technical design and turn it into working, reviewed code — slice by slice, test-first, with progress checkpointed to disk so a new session can resume exactly where the last one stopped.

Inputs

One of:

  • A path to a tech design document
  • "implement the design" — use the design settled in conversation context

If neither exists, stop and ask for the design first.

State persistence

State file: .octo/implement-state.json in the repository root (create .octo/ if needed; add it to .gitignore if not ignored — the state file is session machinery, never committed).

On startup, always check for this file first.

  • Exists → read it, summarize progress, ask: "Found an in-progress implementation. Resume from where we left off?" Resume honors each slice's status; "no" means ask whether to start fresh (overwrite) or abort.
  • Missing → start at Phase 1.
json
{
  "tech_design_path": "path or '(conversation)'",
  "branch": "feat/...",
  "updated_at": "RFC3339",
  "waves": [
    { "wave": 1, "mode": "sequential",
      "slices": [
        { "slice": 1, "title": "...", "status": "pending|in_progress|review|done|skipped",
          "acceptance_criteria": ["..."], "files_owned": ["..."],
          "tests_added": 0, "review_summary": "", "deviations": "", "commit_sha": "" }
      ] }
  ]
}

Update the file on every status transition (slice starts, enters review, done with commit SHA + review summary + deviations). Delete it when everything is done — a clean exit leaves no state behind.

Resuming: done/skipped skip; review re-runs or finishes the review; in_progress checks git log for partial commits and continues from them or restarts the slice; pending starts normally.

Phase 1 — readiness gate, then decompose

Readiness gate. Before slicing, verify the design is concrete enough to code from: every API has method + path + request/response shape, every schema has fields + types, every external call names its counterpart. If something is too vague to implement without guessing, list exactly what's missing and ask the user (use ask_user_question for each decision) — do NOT decompose on top of vague specs; slices built on guesses produce guessed code.

Decompose into vertical slices. Each slice cuts through all layers end-to-end (schema → logic → surface → tests), never a horizontal slab. Group slices into waves by dependency:

  • Wave 1 is always a tracer bullet: one thin end-to-end slice that proves the architecture, run inline so its lessons inform the rest.
  • Dependencies before dependents; data layer before consumers.
  • Slices within a wave must own disjoint file sets — that's what makes a wave parallelizable. If two slices need the same file, different waves.
  • Honesty over parallelism: a tightly-coupled feature is often one sequential wave per slice. Say so instead of forcing a fan-out.

Present the breakdown (slice titles, scope, acceptance criteria, wave grouping) and confirm with the user before writing the state file — unless the user has already told you to proceed autonomously.

Phase 2 — execute wave by wave

Branch discipline

Work on a fresh branch off the latest default branch. Never start a new piece of work on a branch whose PR already has auto-merge armed — after a PR is created, the next slice batch gets a new branch.

The TDD cadence (every slice, no exceptions)

(This section is the rhythm. Hold to the usual test-quality bar as you go: test behavior over implementation, mock only what you don't own, and add wire-contract tests for boundary structs.)

For EACH behavior in the slice:

  1. Write ONE failing test — actual test code, not a description.
  2. Run it; confirm RED (and that it fails for the right reason).
  3. Write the minimal implementation.
  4. Run it; confirm GREEN.
  5. Run the package's full tests; refactor if needed; still GREEN.
  6. Commit immediately — one behavior, one commit, bisectable.

Banned in any plan, prompt, or code you produce: "TODO", "TBD", "implement later", "add proper error handling", "similar to slice N", steps that describe WHAT without showing the code. If you can't write the code, the design decision isn't made yet — go back and make it.

Sequential slices (the common case)

Run inline, full cadence above, then review (below), then next slice.

Parallel waves (only when file sets are truly disjoint)

Spawn one sub_agent per slice. Each sub-agent works in its own git worktree — follow the absolute-path rule from the worktree-isolate skill: octo has no session working directory, so every command is git -C "$WT" … / cd "$WT" && … in a single terminal call, and every file tool gets the worktree's absolute path. The sub-agent prompt must be self-contained: slice scope, acceptance criteria, owned files (absolute paths), interface contracts, the design doc path, the TDD cadence, and the deviation rules below — sub-agents have no conversation context.

After a wave: review each slice, merge each worktree branch back, resolve any conflict (a conflict means the slices weren't independent — note it), run the full suite on the merged result.

If sub_agent is unavailable in this session, run the slices sequentially inline and say so.

Show full SKILL.md (528 more words)Show less
Verify external contracts before writing boundary code

Any code that talks to something outside this repo — an HTTP/RPC API, a DB column, a wire format — must be verified against ground truth before the struct or query is written, and the evidence shown (file:line or fetched doc, with the verbatim field names):

  • External API: read an existing client of the same service in this codebase, or the upstream handler/spec itself. Prose descriptions in the design doc are not evidence — they rot.
  • DB column comparisons: grep the WRITE path (where the column is assigned), not just the read path. A filter that compares a column to a value no writer ever stores compiles, passes unit tests against fake data, and matches zero rows in production.
  • If no ground truth can be found, STOP and flag it rather than guess — wrong contracts pass mocked tests and fail only in production.
Review (every slice, non-negotiable)

After a slice's code is complete, dispatch an isolated reviewer with the code-review skill's sub-agent pattern: zero conversation context, given only the git range, the design doc path, what the slice claims to do, and any intentional deviations (so they aren't re-reported). Ask it to check correctness, races, conventions, tests, security, and design compliance, with severity-ranked findings.

Then: verify each finding before acting — reviewers are sometimes wrong; push back with technical reasoning when they are. Fix Critical now, Important before the next wave, Minor if cheap. Record the review summary in the state file. No performative agreement — fix and show the result.

Deviation rules
SituationAction
Bug found while implementingFix now, note in the slice report
Design is missing a small detailDecide, implement, note it
Environment/dependency blockerWork around, note it, surface at the checkpoint
Architectural change (new boundary, changed contract/schema)STOP and ask the user

Update the design doc in the same branch when the implementation legitimately diverges — the doc describes current state, and a doc that lies is worse than no doc.

Phase 3 — verification before the PR

Four levels, in order:

  1. Exists — everything the design names is present.
  2. Substantive — no stubs: scan the diff for empty bodies, panic("unimplemented"), tests without assertions, leftover TODOs.
  3. Wired — every new surface is reachable: handlers registered, tools advertised, hooks attached, config read. Unwired code is a bug.
  4. Functional — the project's full test suite (with the race detector if it's a Go project), formatter, and vet/linter all clean; every acceptance criterion from Phase 1 checked off. Where feasible, one real end-to-end smoke (run the binary, hit the endpoint, observe the behavior) — unit-green is not the same as works.

Then: push the branch, open a PR whose description covers what landed, review findings fixed, and deviations from the design. Delete the state file. Report: slices completed, tests added, review findings (any patterns?), deviations, anything left for manual verification.

Key principles

  • Vertical over horizontal; tracer bullet first; learn before fanning out.
  • One behavior = one commit; review every slice; verify, don't trust.
  • The state file is always current — any session can crash and resume.
  • Auto-fix bugs and blockers; stop and ask before architectural change.
  • Match the codebase's conventions — comment density, naming, test style — not your own defaults.

© open-octo, 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 internal/skills/defaults/implement of open-octo/octo-agent.

Open the folder on GitHubat commit fc1385f

Compare with similar skills

Implement 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.

Implement compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implement this skillopen-octo/octo-agent125—~2.3kAutomated safety check: PassMIT
Nv Implementnovuhq/novu40k—~1.7kAutomated safety check: PassCustom licence
Tapd Story ImplementTencentBlueKing/bk-bcs840—~1.2kAutomated safety check: PassCustom licence
Testing Skills With Subagentsed3dai/ed3d-plugins2503 repos~3.5kAutomated safety check: PassNone
Test PromptNeoLabHQ/context-engineering-kit1.7k—~5kAutomated safety check: PassGPL-3.0
Pairingtestdouble/han279—~3.5kAutomated safety check: PassMIT

Similar skills

  • Nv Implement

    novuhq/novu

    Implement planned work by fanning out parallel subagents on isolated worktrees — TDD at pre-agreed seams, per-slice nv-park-and-review, merge back, full suite once at the end.

    40k GitHub stars~1.7k tokensUpdated today
    Testing & QAAuto-check passed
  • Tapd Story Implement

    TencentBlueKing/bk-bcs

    迭代执行流水线代码实现阶段。基于 tasks.md 调用 /speckit.implement 以 TDD 模式完成全部任务。

    840 GitHub stars~1.2k tokensUpdated today
    Testing & QAAuto-check passed
  • A skill your agent uses when creating or editing skills, before deployment, to verify they work under pressure and resist rationalization - applies RED-GREEN-REFACTOR cycle to process documentation…

    250 GitHub starsUsed in 3 repos~3.5k tokens
    Testing & QAAuto-check passed
  • Test Prompt

    NeoLabHQ/context-engineering-kit

    A skill your agent uses when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR cycle to prompt…

    1.7k GitHub stars~5k tokensUpdated 1 mo ago
    Testing & QAAuto-check passed
  • Pairing

    testdouble/han

    Build work collaboratively in reviewable pieces, handing each piece back for review before starting the next, so the person stays in the lead and steers while the work happens instead of reviewing a…

    279 GitHub stars~3.5k tokensUpdated 7 days ago
    Testing & QAAuto-check passed
  • Ab Start Task

    ayoubben18/ab-method

    Run an existing task autonomously to completion — each remaining mission in a subagent with tdd, tracker updated per mission, a commit after every green mission.

    192 GitHub stars~376 tokensUpdated 7 days ago
    Testing & QAAuto-check passed

More from open-octo/octo-agent

All 40 skills in this repo
  • Image Gen

    open-octo/octo-agent

    Acquire images as files — generate them with an AI image model (14 providers: OpenAI/gpt-image, Gemini, Qwen, Zhipu, Volcengine, Stability, FLUX, Ideogram, MiniMax, and more), search openly-licensed…

    125 GitHub stars~3.1k tokensUpdated today
    Auto-check: notes
  • Office XLSX

    open-octo/octo-agent

    Create, read, and edit Excel (.xlsx) spreadsheets programmatically with openpyxl — cell values, formulas, styling (fonts/fills/borders/alignment/number formats), merged cells, multiple sheets…

    125 GitHub stars~1.8k tokensUpdated today
    Auto-check: notes
  • Artifact Design

    open-octo/octo-agent

    Design guidance for any HTML/Markdown file shown in octo's Artifacts panel — reports, dashboards, architecture/system diagrams, generated UIs, slide-style pages, 3D scenes.

    125 GitHub stars~2.7k tokensUpdated today
    Auto-check passed
  • Code Review

    open-octo/octo-agent

    Review local code changes. An agent skill from open-octo/octo-agent.

    125 GitHub stars~942 tokensUpdated today
    Auto-check passed
  • Ppt Master

    open-octo/octo-agent

    AI-driven multi-format SVG content generation system. An agent skill from open-octo/octo-agent.

    125 GitHub stars~23k tokensUpdated today
    Auto-check: warnings
  • Config Setup

    open-octo/octo-agent

    Configure octo's global settings through guided conversation — set up AI model endpoints (providers, API keys, models), adjust agent defaults (reasoning effort, permission mode, coauthor, workspace…

    125 GitHub stars~3.3k tokensUpdated today
    Auto-check passed

Questions about Implement

What does Implement do?

Implement a technical design by decomposing it into dependency-ordered vertical slices, executing each with TDD red-green, reviewing each via an isolated sub-agent, and persisting progress to a…. Implement is an agent skill from open-octo/octo-agent. Implement a technical design by decomposing it into dependency-ordered vertical slices, executing each with TDD red-green, reviewing each via an isolated sub-agent, and persisting progress to a state file so work survives session restarts.

When should I use Implement?

Implement fits situations like: the user has a tech design (doc; settled conversation) and says implement.

How do I install Implement in Claude Code?

Run `npx skills add open-octo/octo-agent --skill implement -a claude-code`. Or copy the skill folder (internal/skills/defaults/implement in open-octo/octo-agent) into .claude/skills/implement in your project. Claude Code loads it when a task matches its description.

How do I install Implement in Codex?

Run `npx skills add open-octo/octo-agent --skill implement -a codex`. Or copy the skill folder (internal/skills/defaults/implement in open-octo/octo-agent) into .agents/skills/implement in your project. Codex loads it when a task matches its description.

Can I use Implement 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 open-octo/octo-agent --skill implement -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implement, .gemini/skills/implement, .github/skills/implement and .opencode/skills/implement in your project.

What does Implement need to run?

Going by SKILL.md and its folder, Implement needs the command-line tools its instructions call (git).

Does Implement access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Implement 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 Implement use?

Implement 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 Implement use?

About 2.3k tokens (SKILL.md is roughly 9.3k 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 Implement?

Skills that share tags, products or a category with Implement: Nv Implement (novuhq/novu, 40k stars), Tapd Story Implement (TencentBlueKing/bk-bcs, 840 stars), Testing Skills With Subagents (ed3dai/ed3d-plugins, 250 stars) and Test Prompt (NeoLabHQ/context-engineering-kit, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implement?

open-octo (a GitHub organization) maintains it in open-octo/octo-agent, which has 125 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on October 8, 2026.

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