spike
Skill0 starsChanged 3 months agoMITView on GitHub
Build a throwaway prototype to answer a design question before committing to an approach. Use for UI/UX exploration (multiple variations behind one route), for state-machine or data-model sanity checks, or when the user says "prototype this" / "let me play with it".
54 other projects use a version of this.
Adopted by
Most recently taken up by
- phuthuycoding/kanban-flowtheir own version, first seen Nov 8, 2026
- 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
Used with
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Other versions54 projects use a version of this.
Word for word · 0
None found.
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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.
In this repository12 other files it gives its agents.
- templates/CLAUDE.mdCLAUDE.md
- build-supervisedSkill
- decomposeSkill
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- prdSkill
- respond-to-reviewSkill
- setup-playbookSkill
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- tddSkill
- verify-liveSkill
The file
Files
Spike
A spike is a deliberately disposable build whose only job is to answer a question. Its highest-value output is not the code — it is the production note: a written statement of what the real build needs, extracted while the problem is fully loaded in your head. A good spike with a good production note is the spec, and can be handed to any implementer (human or agent) cold.
Pick the branch
Logic spike — for "does this state machine / data model / algorithm hold up?" Build a single runnable script or minimal CLI that exercises the model with hardcoded data. No UI, no persistence unless persistence IS the question.
UI spike — for "which of these designs works?" Build 2–4 radically different variations (not one design with three paddings), all reachable from a single route with a visible toggle. Client-side state only; fake data; zero backend changes.
Rules
- Isolated: everything lives under a
/prototyperoute or aspike/directory. No edits to production modules. No new production dependencies. - Timeboxed: hours, not days. A spike that grows tests and error handling has silently become an implementation — stop and restart as real work.
- Real constraints, fake data: enforce the rules that shape the design (minimum lead times, size limits, valid transitions) so the feel is honest; fake everything else.
- Never merged to production paths: archive the branch or delete it after the production note is extracted.
The production note — mandatory
At the top of the spike's main file, before finishing:
// ── Production note ─────────────────────────────────────────────
// This spike is client-side only; nothing is persisted. A real build needs:
// - <schema deltas: columns, statuses, enums>
// - <processes: jobs, crons, queues — and which existing path they reuse>
// - <the decided UX rules: minimums, defaults, edge behaviors>
// - <what was tried and REJECTED, and why>
// ────────────────────────────────────────────────────────────────The rejected-options line matters most: it prevents the implementer from faithfully rebuilding a dead end.
Exit
Present the variations (or the logic run's output), get a decision, write the
production note, and hand off — to /spec if the feature is going to be
built, or to the archive if the answer was "no".
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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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
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