agentleFS
ethosagentethosagent/ethos/skills/software-development/spike/SKILL.md

spike

Skill22 starsChanged 9 days agoMITView on GitHub

Throwaway exploration to validate an idea before committing to a real implementation. Time-boxed; isolated under the workspace's .ethos-work/spikes/ so it never pollutes the project's source. Use when the question is "is this even feasible?".

54 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use competitor-news-monitor, blocked-page-recovery and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • aivrarSkill

    competitor-news-monitor

    Watch named companies for material news; cited digests.

    Also in 6 projects that use this

  • aivrarSkill

    blocked-page-recovery

    Recover blocked/paywalled/WAF'd pages via fallbacks.

    Also in 6 projects that use this

  • john-data-chenSkill

    teams-meeting-pipeline

    Operate the Teams meeting summary pipeline via Hermes CLI — summarize meetings, inspect pipeline status, replay jobs, manage Microsoft Graph subscriptions.

    Also in 8 projects that use this

  • john-data-chenSkill

    touchdesigner-mcp

    Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.

    Also in 5 projects that use this

  • Tommy-ywSkill

    songwriting-and-ai-music

    Songwriting craft, AI music generation prompts (Suno focus), parody/adaptation techniques, phonetic tricks, and lessons learned. These are tools and ideas, not rules. Break any of them when the art calls for it.

    Also in 8 projects that use this

  • mae616Skill

    p5js

    p5.js(クリエイティブコーディング)のProcessing由来「コードでスケッチ」思想を軸に、setup/drawループ・座標系・インタラクション・パフォーマンス最適化を整理する。p5.js、Processing、クリエイティブコーディング、ジェネラティブアート、インタラクティブ表現、ビジュアルプログラミング、Canvas描画、パーティクル、フラクタル、ノイズ表現に関する相談で必ず使うこと。ユーザーが「コードでアート」「動くビジュアル」「インタラクティブな描画」と言った場合にも適用する。

    Also in 8 projects that use this

  • +4 more from aivrar

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 50 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When the answer is already known, write real code.

    line 35

“Common” is measured: kept by at least 6 in 10 of the 50 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Spike

Throwaway exploration. The output is "yes / no / maybe with these caveats", not production code.

When to use this skill

  • The question is "is this even feasible?" — you do not yet know whether the right approach exists.
  • The user said "prototype this", "just see if X works", "quick experiment".
  • A spike is cheaper than reading docs (e.g. you'd rather find out how a library actually behaves than guess from its README).

When the answer is already known, write real code. Do not spike.

What this skill writes

Spikes live under .ethos-work/spikes/<slug>/ in the workspace. They never go inside the project's source tree: .ethos-work/ is scratch space, kept out of git by adding .ethos-work/ to .git/info/exclude. (Not under ~/.ethos: the terminal guard refuses any command that names the Ethos state dir.) This is deliberate — spikes are throwaway, and putting them in the project would invite "but it works in the spike" arguments.

Nothing expires or deletes spikes automatically: a spike directory stays until someone removes it. Clean up by hand (see "Outcome" below).

The procedure

  1. Acknowledge that this is throwaway. The first line of any spike file is # Spike: <question>. Set the user's expectation that nothing here is going to ship as-is.
  2. Pick the smallest scope that answers the feasibility question. A spike is not a feature. If you find yourself adding a second concern, stop — that's a sign the spike has scope-crept and the answer is already "yes, but with these constraints".
  3. Set up the spike directory:
    .ethos-work/spikes/<slug>/
    ├── README.md          # the question, the approach, the result
    └── <code, scripts, fixtures>
  4. Run / measure / report. Whatever the question demanded — execute it, capture the output, write the result into README.md.
  5. Outcome. End with a one-line recommendation:
    • Keep — leave it where it is, may revisit. It stays until someone deletes it.
    • Promote — worth turning into real code. There is no promote command: the user decides where it belongs in the project. Do not copy spike code into the source tree yourself; say which files are worth keeping and let the user bring them over, or write the real implementation fresh once they agree.
    • Discard — delete .ethos-work/spikes/<slug>/ now (rm -r .ethos-work/spikes/<slug>).

Hard rules

  • Spikes never touch the project's source files. If you want to spike with the project's code, copy the relevant files into the spike directory first.
  • A spike that grows past ~200 lines is no longer a spike — it has become a proto-implementation. Stop, write a plan, then start over.
  • Output a recommendation. A spike with no recommendation is not a finished spike.

Integrates with

  • The process tool, when the spike needs to run a long-lived process (a server, a watcher). Start it with process_start, leave it running, kill with process_stop when done. Do not block the chat on a long-running spike.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.