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implement

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

Install / Use

npx skills add tobihagemann/turbo --skill implement

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Supported Platforms

Universal

Tags

Our assessment of implement

implement scores 83/100 on our quality scale, 3263rd of 4,616 Development & Engineering skills we index.

Its SKILL.md is 8.4 KB long, well organised into 10 sections and no code examples: a thorough specification that gives an agent plenty to work with.

It has 405 GitHub stars, a meaningful sign that others use it.

Substance
29/30
Structure
13/20
Description
15/15
Adoption
11/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 12 days ago, so implement is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-10-05. Automated pattern scan on 2026-10-05. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

implement compared with similar skills

All 4 of these similar skills score higher than implement; compare them before choosing.

SkillScoreStarsUpdatedFormat
implement (this skill)by tobihagemann8340512d agoSKILL.md
ai-job-searchby MadsLorentzen10045.0ktodayCLAUDE.md
claude-howtoby luongnv8910041.8k5d agoCLAUDE.md
algorithmic-artby anthropics100177.9k13d agoSKILL.md
pptxby anthropics100177.9k13d agoSKILL.md

Frequently asked questions

How do I install implement?
Run npx skills add tobihagemann/turbo --skill implement. The install tabs above show the steps for each supported agent.
Which AI agents does implement work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is implement safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is implement still maintained?
The repository was last updated 12 days ago, so implement is actively maintained.

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 TaskCreate to create a task for each step:

  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

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 via the Skill tool. 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

Unless one subagent per step was settled on for a plan that governs the work, 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.

When a plan governs the work and one subagent per step was settled on for it, the Implementation Steps go to subagents, and this session reviews what each one returns. Use TaskCreate to create a task for each Implementation Step, then take them in order, one at a time.

Before each spawn, capture git status --short and run git stash create, which snapshots the working tree without changing it and prints nothing when the tree is clean.

Spawn a single subagent (model: "opus", no name). Wait for it to report before continuing; do not relaunch it if it has not yet reported. Its prompt directs it to read references/step-implementer.md, and gives:

  • The plan's path and the Implementation Step to implement
  • What earlier Implementation Steps changed that this one builds on
  • The task-specific skills from Step 2 that this Implementation Step's work matches
  • The checks it must pass
  • A cap on any verification whose count the plan leaves open, such as mutation runs

When it reports, review what it changed against the plan: git diff <snapshot>, or git diff HEAD when the tree was clean, shows its changes to tracked files, and git status --short compared with the capture shows the files it added. Run the checks the prompt named. Then settle everything the report leaves open before the next Implementation Step starts:

  • Make a small correction in this session.
  • Give larger rework, or a block this session can clear, to a new subagent for the same Implementation Step, passing along what the first one reported.
  • Take a block or a deviation that changes what the plan delivers to the user with AskUserQuestion, and carry out the answer through one of the two routes above.

Mark the Implementation Step's task completed once nothing is left open.

When the user asks how a running subagent is doing, read its progress from the same comparison against the capture. When the user asks to change its course, message it with the SendMessage tool. After a subagent has reported, changes go through the routes above.

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 AskUserQuestion 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 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.

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 AskUserQuestion 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.

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.

Before starting QA, check for a context signal. Call the mcp__context-level__read tool: a reading of 50% or less remaining is one. A request from the user to compact, arriving since the session last compacted, is the other. When the reading is 50% or less and the user has not asked to compact, use AskUserQuestion to ask whether to compact before QA: "Handoff, then compact", marked recommended, or keep going in this session. On "Handoff, then compact", or when the user asked to compact, run the /create-handoff skill, or, when this session already wrote a handoff, edit that file. Point its next step at what follows here: the /finalize skill when a plan file governs the work, naming the plan's path, and the choice among full QA, a quick close, and stopping otherwise. Use TaskUpdate to set this step's task description to that same next step, leave the task in progress, and end the turn in place of the TaskList call that closes this step, telling the user to run /compact and then reply "continue".

When a plan file governs the work, run the /finalize skill.

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

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

Then use the TaskList tool and proceed to any remaining task.

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.

Related Skills

View on GitHub
GitHub Stars405
CategoryDevelopment
Updated12d ago
Forks31

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions