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ITS-MSWITS-MSW/skills/library-fit-potential-use-capture/SKILL.md

library-fit-potential-use-capture

Skill2 starsChanged 5 months agoMITView on GitHub

Evaluate a third-party library against the user's active stack and capture a reusable "Potential use" note in the Obsidian vault.

1 other project uses a version of this.

Adopted by

Most recently taken up by

  • Other versions1 project uses a version of this.

    Word for word · 1

    1. PURPLE-ORCA/skills★ 2100% same

    Edited · 0

    None found.

    Wrote their own version · 0

    None found.

    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 repository7 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Prefer concrete practitioner reports over generic SEO listicles.

    line 20
  2. Distinctive:

    If missing, note bootstrap cost and whether creating a new skill is justified.

    line 26
  3. Very specific:

    Write a note under LLM/KNOWLEDGE/libraries/ with title <library>-potential-use.md.

    line 30
  4. Distinctive:

    Do not force adoption when current stack already has a native equivalent.

    line 44
  5. Distinctive:

    Keep recommendations reversible and explicit about assumptions.

    line 45

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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

Library Fit + Potential Use Capture

When to use

  • User asks: "does this library fit my stack?"
  • User wants future-ready documentation even when the tool is not immediately adopted.

Workflow

  1. Read the source docs first
    • Pull official docs/release page/GitHub readme.
  2. Run alternatives comparison (when user asks X vs Y)
    • Build a side-by-side matrix: purpose, strengths, limitations, setup friction, rendering/runtime model, and output quality controls.
    • Include current baseline tool already in the user's workflow (e.g., HyperFrames) as the reference column.
  3. Collect external signal quality
    • Pull at least one official source + one community source (Reddit/GitHub discussions).
    • Prefer concrete practitioner reports over generic SEO listicles.
  4. Map against active stack
    • Compare against each active project/runtime (e.g. Laravel, React Native, Convex, Next.js).
    • Mark fit as: Strong fit, Conditional fit, or Skip for now.
  5. Check skill/integration availability
    • Confirm whether Hermes already has a reusable skill/integration for the candidate tool.
    • If missing, note bootstrap cost and whether creating a new skill is justified.
  6. Decide recommendation
    • Recommend now vs later, with one sentence rationale per project.
  7. Capture in vault as durable knowledge
    • Write a note under LLM/KNOWLEDGE/libraries/ with title <library>-potential-use.md.
    • Include: summary, compatibility table, adoption trigger conditions, and implementation starter checklist.
  8. Verify write
    • Re-read the exact file path and confirm key sections exist.

Output template (for note)

  • # <Library> — Potential use
  • ## What it is
  • ## Compatibility with current stack
  • ## When to adopt
  • ## When to skip
  • ## Quick start checklist

Guardrails

  • Do not force adoption when current stack already has a native equivalent.
  • Keep recommendations reversible and explicit about assumptions.
  • Store conclusions in knowledge notes so future agents can reference implementation context quickly.

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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.

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