aliatx2017/reasonix-hermes/spike

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Throwaway experiments to validate an idea before building. Write exploratory code in a temporary directory, gather data, then discard — never commit spike code.

Install

npx vskill@latest install aliatx2017/reasonix-hermes/spike

SKILL.md

Spike

When to Use

  • You need to test whether an approach will work before committing to it
  • You're unsure about API behavior, library compatibility, or algorithm performance
  • You want to gather data about a problem space before designing a solution
  • A plan step says "validate approach X"

Core Rules

  1. Throwaway code — Write in /tmp/spike-<name>/, never in the project tree
  2. Time-boxed — 15-30 minutes max, then decide
  3. No commits — Spike code is never committed. Extract learnings, discard code.
  4. One question per spike — "Will library X handle Y?" not "Build feature Z"

Process

1. State the question clearly
2. Create /tmp/spike-<name>/
3. Write minimal code to answer the question
4. Run it, observe results
5. Report: what worked, what didn't, what you learned
6. rm -rf /tmp/spike-<name>/

Go-Specific

bash
mkdir -p /tmp/spike-<name>
cd /tmp/spike-<name>
go mod init spike
# Write main.go
go run .

Output

A concise report:

  • Question: What were you testing?
  • Approach: What did you try?
  • Result: What happened?
  • Decision: Go / No-Go / Need more info
  • Artifacts: Any data or logs worth keeping (move to project docs, not code)

When NOT to Spike

  • You already know the answer (just build it)
  • The question needs a full implementation to answer (spike won't help)
  • You're using the spike as an excuse to avoid making a decision

Related

  • Project skill: evidence-first-reasoning — verify hypotheses discriminatively
  • Project skill: plan (if adopted) — spike before committing to a plan

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

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