spike
Skill2 starsChanged 6 days agoMITView on GitHub
Answer a question instead of changing the code, with no work item. Use for "can we…", "how long would…", "what does X return today" questions, for probing an API, a library or a setting, and for one-shot operations that land no code. Reports a recommendation, the sources and the exact commands run.
54 other projects use a version of this.
Adopted by
Most recently taken up by
- ice-lfernandes/claude-spring-architecttheir own version, first seen Nov 8, 2026
- venhdev/skillstheir own version, first seen Nov 8, 2026
- nerviz-ai/nerviztheir own version, first seen Nov 8, 2026
- nearmap/shipyardtheir own version, first seen Nov 8, 2026
- delorenj/skillstheir own version, first seen Nov 7, 2026
- buildomator/buildomatortheir own version, first seen Nov 4, 2026
Used with
Projects with it also use competitor-news-monitor, blocked-page-recovery and 10 more.
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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.
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john-data-chenSkillteams-meeting-pipeline
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john-data-chenSkilltouchdesigner-mcp
Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.
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Tommy-ywSkillsongwriting-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.
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mae616Skillp5js
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
Other versions54 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 54
- moltbot/clawdbot★ 394ksame name
- steipete/warelay★ 394ksame name
- steipete/clawdis★ 394ksame name
- moltbot/moltbot★ 394ksame name
- clawdbot/clawdbot★ 394ksame name
- openclaw/openclaw★ 394ksame name
- molt-bot/clawdbot★ 391ksame name
- NousResearch/hermes-agent★ 262ksame name
- OpenBMB/PilotDeck★ 5ksame name
- friuns2/openclaw-android-assistant★ 573same name
44 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 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.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 17
Write throwaway code only in a scratch dir under $CLAUDE_JOB_DIR/tmp when that variable is set, otherwise under the OS temp dir (mktemp -d).
- Distinctive: line 18
Wait for the user's explicit "go" before any irreversible step: a delete, a publish, a setting flipped on a shared system, a write to a …
- Very specific: line 20
When the answer turns into work, hand back to the flow skill (Skill(kf:flow)) to reclassify the request as bounded or architectural before …
“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.
Files
Spike — a question, not a change
Plugin root: ${CLAUDE_PLUGIN_ROOT} — resolve it to the path this skill was loaded from.
The output of a spike is an answer; anything built along the way is throwaway. Probing that only reads needs no nod from the user.
Procedure
- Open no work item: no
kf new, no.works/file, no branch. The spike leaves nothing in the repository. - State in two sentences what you will probe, then start. Do not wait for a nod; read-only probing never waits for one.
- Dispatch
Agent(kf:researcher)for each question that research can answer (docs, APIs, versions, prior art, how an existing piece of code works), using the template in${CLAUDE_PLUGIN_ROOT}/skills/flow/references/researcher-brief.md. Probe the rest yourself, as cheaply as correctness allows. - Write throwaway code only in a scratch dir under
$CLAUDE_JOB_DIR/tmpwhen that variable is set, otherwise under the OS temp dir (mktemp -d). Never write it into the repository. - Wait for the user's explicit "go" before any irreversible step: a delete, a publish, a setting flipped on a shared system, a write to a remote. Name the step and its effect when you ask.
- Report a recommendation, the sources it rests on, and the exact commands you ran, so the user can repeat them.
- When the answer turns into work, hand back to the flow skill (
Skill(kf:flow)) to reclassify the request as bounded or architectural before any change is made.
Report path
The researcher's report goes where the brief says: with no work item, $CLAUDE_JOB_DIR/tmp/research-<slug>.md when $CLAUDE_JOB_DIR is set, otherwise research-<slug>.md under the OS temp dir. A spike never writes a report under .works/; if the findings are worth keeping, say so and let the user decide where they go.
Does it work?
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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.

