Agent skill

spike

Throwaway experiments to validate an idea before build.

HezaoHezaogithub.com/HezaoHezaoGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add HezaoHezao/poirot --skill spike --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Declared author: Adapted from hermes-agent (Nous Research, MIT); gsd-build/get-shit-done
Allowed tools: -bash-write_file-read_file-web_search-browse_page
Path: poirot/backend/agents/skill/builtin_skills/core/spike/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 139
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Spike Use this skill when the user wants to **feel out an idea** before committing to a real build — validating feasibility, comparing approaches, or surfacing unknowns that no amount of research will answer. Spikes are disposable by design. Throw them away once they've paid their debt. Load this when the user says things like "let me try this", "I want to see if X works", "spike this out", "bef

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About this skill
What does the spike skill do?

Throwaway experiments to validate an idea before build.

How do I install it?

Run `npx skills add HezaoHezao/poirot --skill spike --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From HezaoHezao/poirot, a repository with 139 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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