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Agent skill

Impl

by tympanix in tympanix/Electorrent

Implement a feature. An agent skill from tympanix/Electorrent.

GPL-3.0Auto-check passed

Install Impl

skills CLI
$ npx skills add tympanix/Electorrent --skill impl -a claude-code

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

GitHub CLI
$ gh skill install tympanix/Electorrent impl --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/tympanix/Electorrent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/impl .claude/skills/impl && 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
impl
GitHub stars
1.2k
Token cost
~834 tokens
SKILL.md length
495 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
GPL-3.0

At a glance

Implement a feature. An agent skill from tympanix/Electorrent.

  • Works in 5 steps: Launch an Implementation agent to… → Orchestrator (you) creates new or… → Launch a Validation agent to validate… → …
  • SKILL.md covers Implementation agent, Validation agent, Fixup agent and No frequent polling, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Impl is an agent skill from tympanix/Electorrent. Implement a feature. Tirgger when "implement" in the prompt

Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with OpenAI. The repository describes itself as: A remote control client for µTorrent, qBittorrent, rTorrent, Transmission, Synology & Deluge. The licence is GPL-3.0.

Example prompts

  • “implement”
  • “/impl”

Workflow steps

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

  1. Launch an Implementation agent to implement the requested feature
  2. Orchestrator (you) creates new or updates existing PR draft with the changes
  3. Launch a Validation agent to validate the PR
  4. If failures are reported, launch a Fixup agent to resolve issues. Then return to step 2
  5. All checks pass - orchestrator marks work completed and transitions PR from draft to ready

What it can do on your machine

Read from SKILL.md and the folder at commit d45444f. 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

Impl loads about 834 tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 495 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~16
When it runs · the whole SKILL.md, loaded when a task matches
~834

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 tympanix/Electorrent at commit d45444f, republished under its GPL-3.0 licence (© tympanix). 495 words, ~834 tokens.

Download SKILL.mdSave it as .claude/skills/impl/SKILL.md (or your agent's skills folder).
name
impl
description
Implement a feature. Tirgger when "implement" in the prompt

You are the feature PR orchestrator. You own the requested feature implementation end-to-end: from feature request to ready PR

Your responsibilities as a orchestrator: delegate work to subagents, coordinate implementation, validate it, publish a pull request, and resolve PR feedback or CI failures until the PR is ready to merge.

The orchestrator agent must transition the feature implementation through the following phases:

  1. Launch an Implementation agent to implement the requested feature
  2. Orchestrator (you) creates new or updates existing PR draft with the changes
  3. Launch a Validation agent to validate the PR
  4. If failures are reported, launch a Fixup agent to resolve issues. Then return to step 2
  5. All checks pass - orchestrator marks work completed and transitions PR from draft to ready

Agents

Implementation agent

Worker agent using model gpt-5.6-sol on medium reasoning to implement the feature. The agent is provided the users original feature request and any additional high-level details and decisions from this conversation. The objective of the agent is to implement the feature following the project guidelines; implement, build, lint, local testing. Final response must include a high-level summary of the implementation.

Validation agent

Agent using model gpt-5.6-terra on low reasoning. The objective of the agent is to wait for all PR checks to terminate and report on their status. The prompt must include the No polling rule. If any PR check fails, fetch the log for the failed checks and report on the relevant lines related to the failure only. The reponse of the subagent must include which checks failed (if any) and the relevant/filtered log lines from the log.

Show full SKILL.md (227 more words)Show less

Fixup agent

Agent using model gpt-5.6-sol on medium reasoning. The agent is provided the implementation summary, the failed checks and the revelant logs from the failed checks. The objective of the agent is to solve the root cause of the issue and perform targeted local testing to verify the issue is solved. The response must include a description of the root cause, the solution and what tests were performed for validation.

Rules

No frequent polling

Do NOT check in with or report progress on agents and long running commands regularily. Wait until subagents and/or commands completely terminate before taking any turns! Always use a minimum of 60000 ms_timeout for tool calls to wait and wait_agent. You may retry commands/waits after unexpected failures/terminations.

Orchestrator token discipline:

  • Keep context clean by tracking high-level objectives and agent responses
  • Pass distilled summaries and exact file paths to later agents, not raw output or whole prior conversations.
  • Reuse a successful agent for immediate follow-up fixes only when it retains crucial local context; otherwise use a fresh bounded agent.
  • Do not delegate simple shell commands, routine git status checks, or decisions that the parent can make from existing evidence.

Orchestrator response

The final response from the orchestrator must include:

  • A link to the ready PR
  • A brief sumarized list of the outcome of all agent delegation each including
    • Summarized outcome
    • Total execution time

© tympanix, GPL-3.0. 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 .agents/skills/impl of tympanix/Electorrent.

Open the folder on GitHubat commit d45444f

Compare with similar skills

Impl 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.

Impl compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Impl this skilltympanix/Electorrent1.2k—~834Automated safety check: PassGPL-3.0
Geo Fundamentalswasp-lang/wasp19k9 repos~861Automated safety check: PassMIT
AI SDKvercel-labs/ai-facts16821 repos~1.2kAutomated safety check: PassNone
AI Image Generation and Editingzhayujie/CowAgent47k—~1.3kAutomated safety check: PassMIT
ModLens Image Vision Bridgeliustack/modlens4.2k1 repos~1.3kAutomated safety check: NotesMIT
PR Design DocOpenHands/OpenHands90k—~2.4kAutomated safety check: PassMIT

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Works with

Questions about Impl

What does Impl do?

Implement a feature. An agent skill from tympanix/Electorrent. Impl is an agent skill from tympanix/Electorrent. Implement a feature.

How do I install Impl in Claude Code?

Run `npx skills add tympanix/Electorrent --skill impl -a claude-code`. Or copy the skill folder (.agents/skills/impl in tympanix/Electorrent) into .claude/skills/impl in your project. Claude Code loads it when a task matches its description.

How do I install Impl in Codex?

Run `npx skills add tympanix/Electorrent --skill impl -a codex`. Or copy the skill folder (.agents/skills/impl in tympanix/Electorrent) into .agents/skills/impl in your project. Codex loads it when a task matches its description.

Can I use Impl 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 tympanix/Electorrent --skill impl -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/impl, .gemini/skills/impl, .github/skills/impl and .opencode/skills/impl in your project.

What does Impl need to run?

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

Does Impl 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 Impl 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 Impl use?

Impl is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Impl use?

About 834 tokens (SKILL.md is roughly 3.3k 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 Impl?

Skills that share tags, products or a category with Impl: Geo Fundamentals (wasp-lang/wasp, 19k stars), AI SDK (vercel-labs/ai-facts, 168 stars), AI Image Generation and Editing (zhayujie/CowAgent, 47k stars) and ModLens Image Vision Bridge (liustack/modlens, 4.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Impl?

tympanix (a GitHub user) maintains it in tympanix/Electorrent, which has 1,192 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 3, 2026.

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