Agent skill

Implement

by tobihagemann in tobihagemann/turbo

Load code-style and task-specific skills, make the change described by the current context, then run post-implementation QA.

MITAuto-check passedTesting & QA

Install Implement

skills CLI
$ npx skills add tobihagemann/turbo --skill implement -a claude-code

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

GitHub CLI
$ gh skill install tobihagemann/turbo 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/tobihagemann/turbo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/codex/skills/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
407
Token cost
~1.9k tokens
SKILL.md length
1,165 words
Files
1
Skills in repo
81
Repo updated
First seen
Licence
MIT

At a glance

Load code-style and task-specific skills, make the change described by the current context, then run post-implementation QA.

  • Works in 7 steps: Run $code-style Skill → Load Task-Specific Skills → Make the Change → …
  • Ad-hoc changes when no plan file
  • SKILL.md covers Task Tracking, Step 1: Run $code-style Skill, Step 2: Load Task-Specific… and Step 3: Make the Change, plus 5 more sections
  • Calls git

What it does

Implement is an agent skill from tobihagemann/turbo. Load code-style and task-specific skills, make the change described by the current context, then run post-implementation QA. Use for ad-hoc changes when no plan file or improvements backlog governs the work, and when the user asks to "just implement", "implement directly", "implement without a plan", or "apply the change".

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 Testing & QA, covering UI design. The repository describes itself as: Reusable workflows for planning, building, reviewing, and shipping with Claude Code and Codex. The licence is MIT.

When your agent uses it

  • Ad-hoc changes when no plan file
  • Improvements backlog governs the work
  • When the user asks to just implement
  • Implement directly

Example prompts

  • “just implement”
  • “implement directly”
  • “implement without a plan”
  • “/implement”

Workflow steps

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

  1. Run $code-style Skill
  2. Load Task-Specific Skills
  3. Make the Change
  4. Run Verification
  5. Run $smoke-test Skill for UI/UX Changes
  6. Run $preview Skill for UI/UX Changes
  7. Post-Implementation QA

What it can do on your machine

Read from SKILL.md and the folder at commit 4b9f4cf. 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 1.9k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 1,165 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
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 tobihagemann/turbo at commit 4b9f4cf, republished under its MIT licence (© tobihagemann). 1,165 words, ~1,936 tokens.

Download SKILL.mdSave it as .claude/skills/implement/SKILL.md (or your agent's skills folder).
name
implement
description
Load code-style and task-specific skills, make the change described by the current context, then run post-implementation QA. Use for ad-hoc changes when no plan file or improvements backlog governs the work, and when the user asks to "just implement", "implement directly", "implement without a plan", or "apply the change".

Implement

Standard implementation flow: load style rules, make the change, run post-implementation QA.

Task Tracking

At the start, use update_plan to track each step, restating any remaining steps of a parent workflow alongside them:

  1. Run $code-style skill
  2. Load task-specific skills
  3. Make the change
  4. Run verification
  5. Run $smoke-test skill for UI/UX changes
  6. Run $preview skill for UI/UX changes
  7. Post-implementation QA

Workflow state lives at .turbo/workflows/<slug>.md — slug from the governing plan when one is in context, otherwise the current branch name with non-alphanumerics replaced by hyphens. It pairs one-to-one with the thread's goal. When this run's create_goal attempt succeeds, write the file fresh: Status: active plus this invocation's update_plan list as a checkbox list. When an unfinished goal already exists, mirror into the workflow file its objective names; when it names none, continue without workflow state. Mirror every update_plan call into the file; it holds the pipeline's remaining steps and their statuses. When this run created the goal, run the terminal step in order: mark the final entry completed and mirror it, set Status: closed, mark the goal complete with update_goal, then emit any halt message.

Then attempt create_goal with the objective: "Make this change: <one-line task summary>. Carry it through Step 7, which runs $finalize unless a quick close or stopping is chosen. Workflow state: .turbo/workflows/<slug>.md; mirror every update_plan call into it. Loop state lives under .turbo/loops/. After any context compaction, re-read the workflow file and any active ledger, and continue from the first unfinished entry. Mark this goal complete when Step 7 has finished." If an unfinished goal already exists, an outer workflow owns it; continue without creating one.

Step 1: Run $code-style Skill

Run the $code-style skill to load existence, reuse, mirror, and symmetry rules before editing.

Step 2: Load Task-Specific Skills

Scan the work for types that match available skills, matching against the richest context available: a plan's Implementation Steps if a plan is in conversation context, otherwise the user request, a prior skill's task description, or an improvement entry. For each unambiguous match, run the skill by reading and following the installed skill instructions. For example, if the work includes "add a Drizzle migration" and a skill exists whose triggers reference Drizzle migrations, load it. If a work type has no matching skill trigger, do not load a generic skill.

If unsure, do not load.

Step 3: Make the Change

Apply the change described by the current context — the user request, a prior skill's task description, or an improvement entry. Keep the edit scoped to what the context describes.

When the fix changes how a value is constructed, grep for every other site that constructs it and fix the ones carrying the same defect; treat these siblings as part of the same change. If the scope balloons beyond what the context specified, stop and confirm scope before continuing.

Step 4: Run Verification

Before this step starts or uses a process that runs until it is stopped, such as a server or a watcher, run the $test-run-rules skill. Its rules verify without modifying code, so act on a failed check as this step directs.

If a Verification section is in conversation context (e.g., from a plan file), execute the commands, smoke checks, or MCP tool invocations it specifies. If a check fails, run the $investigate skill. If a check is blocked by a dependency, unclear requirement, or environmental issue, use request_user_input to surface the blocker and let the user choose how to proceed. If no Verification section is in context, go straight to the configuration check below.

When the Verification section lists both checks that can force code edits, such as a formatter or a linter, and a slow run, such as an integration suite, finish the edit-forcing checks and the edits they force before starting the slow run. When an edit lands after a slow run started, re-run it; when re-running is not practical in this session, state which part of the verification the final code did not get.

When the change adds or documents a configuration override — an environment variable, build flag, or any setting a reader is told to set — prove that a supported path delivers it: set the value, run the build or process meant to consume it, and confirm the output changed. When no supported path delivers it, fix the path or drop the documentation before this step completes. Restore the setting afterwards, and rebuild or discard any output produced with the non-default value. Passing checks are no evidence here, since a default that matches the value already in use keeps a broken override invisible to every run that never asks for a different one.

Show full SKILL.md (386 more words)Show less

Step 5: Run $smoke-test Skill for UI/UX Changes

If the change touches a user-facing surface (UI components, styles, templates, markup, user-facing routes or screens), run the $smoke-test skill. When that is unclear, use request_user_input to ask whether the change is user-facing rather than skipping silently. Skip this step for changes with no user-facing surface (backend-only, CLI, library, build or config).

$smoke-test verifies without modifying code, so act on what it reports here: fix each failure and re-run it. When the same failure survives a fix attempt, run the $investigate skill; if investigation finds no root cause, stop and report with its findings. When a blocker cannot be cleared in this session (a path needing real credentials, an external service, or state unavailable here), carry it into Step 6 rather than treating it as a failure. When a fix made here edited code, re-run the Step 4 checks it could affect once no failure remains; when re-running is not practical in this session, state which part of the verification the final code did not get.

Step 6: Run $preview Skill for UI/UX Changes

If Step 5 determined the change is user-facing, run the $preview skill so the user can try it firsthand before QA. Skip this step otherwise. Pass along any blocker Step 5 could not clear, so the hand-over names the cases still left to the user.

Step 7: Post-Implementation QA

When a plan file governs the work, hold this step until every Implementation Step has been applied, and continue to the next Implementation Step at every earlier boundary. Then run the $finalize skill.

When no plan file governs the work, use request_user_input to offer three options:

  • Full QA — run the $finalize skill
  • Quick close — run the $quick-finalize skill
  • Stop here — leave the change as-is

If this run created a goal, follow the closing update_plan call below by mirroring it into the workflow file, setting Status: closed, and marking the goal complete with update_goal, in that order. Then call update_plan to mark this step completed and continue with the next step of the active workflow.

Rules

  • Defer git commit, git push, and PR creation to Step 7.
  • Don't reference .turbo/ content (filenames, acceptance criteria, step numbers, headings) in code or comments. .turbo/ is gitignored, so these references would be opaque to anyone reading without local copies.

© tobihagemann, 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 codex/skills/implement of tobihagemann/turbo.

Open the folder on GitHubat commit 4b9f4cf

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 skilltobihagemann/turbo407—~1.9kAutomated safety check: PassMIT
UI Reviewjvm-skills/jvm-skills140—~545Automated safety check: PassApache-2.0
Pre Release SweepLanternOps/breeze131—~2.6kAutomated safety check: NotesAGPL-3.0
Liteyuki Webui FrontendLiteyukiStudio/LiteyukiBot157—~2.5kAutomated safety check: PassCustom licence
UI QA SweepLanternOps/breeze131—~3kAutomated safety check: NotesAGPL-3.0
UI CanvasPrismer-AI/PrismerCloud1.6k—~1.2kAutomated safety check: NotesMIT

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Categories

Questions about Implement

What does Implement do?

Load code-style and task-specific skills, make the change described by the current context, then run post-implementation QA. Implement is an agent skill from tobihagemann/turbo. Load code-style and task-specific skills, make the change described by the current context, then run post-implementation QA.

When should I use Implement?

Implement fits situations like: ad-hoc changes when no plan file; improvements backlog governs the work; when the user asks to just implement; implement directly.

How do I install Implement in Claude Code?

Run `npx skills add tobihagemann/turbo --skill implement -a claude-code`. Or copy the skill folder (codex/skills/implement in tobihagemann/turbo) 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 tobihagemann/turbo --skill implement -a codex`. Or copy the skill folder (codex/skills/implement in tobihagemann/turbo) 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 tobihagemann/turbo --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 1.9k tokens (SKILL.md is roughly 7.7k 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: UI Review (jvm-skills/jvm-skills, 140 stars), Pre Release Sweep (LanternOps/breeze, 131 stars), Liteyuki Webui Frontend (LiteyukiStudio/LiteyukiBot, 157 stars) and UI QA Sweep (LanternOps/breeze, 131 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implement?

tobihagemann (a GitHub user) maintains it in tobihagemann/turbo, which has 407 GitHub stars. The repository holds 81 skills in this directory. The repository was last updated on October 7, 2026.

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