agentleFS
Sign inStart free
dirumahrafifdirumahrafif/my-opencode-skills/write-tech-spec/SKILL.md

write-tech-spec

Skill37 starsChanged 2 months agoNo licenceView on GitHub

Write technical specifications for features, changes, or bug fixes. Produces a markdown file in .agents/tech-specs/<YEAR>/ for user review, then creates issues after approval. Gunakan ketika: user minta tech spec, user minta spesifikasi teknis, user minta implementation plan, user minta dokumentasi teknis, atau user mendeskripsikan fitur yang butuh perencanaan sebelum coding.

  • Installs packages

6 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use write-product-spec, diagnose-ci-failures and 6 more.

Other files people use alongside this one.

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.
  • zerx-labSkill

    write-product-spec

    Write a PRODUCT.md spec for a significant user-facing feature in Zap, focused on detailed behavior and validation. Use when the user asks for a product spec, desired behavior doc, or PRD, wants to define feature behavior before implementation, or when the feature is substantial or behaviorally ambiguous enough that a written spec would improve implementation or review.

    Also in 5 projects that use this

  • zerx-labSkill

    diagnose-ci-failures

    Diagnose CI failures for a PR using the GitHub CLI, extract error logs, and generate a plan to fix them. Use when the user asks to check CI status, pull CI issues, triage test failures, or investigate PR build failures.

    Also in 3 projects that use this

  • GitHubSkill

    resolve-merge-conflicts

    Merge a base ref and safely regenerate compiled workflow lock-file conflicts.

    Also in 3 projects that use this

  • gitpod-ioSkill

    fix-errors

    Guidelines for fixing unhandled errors from the VS Code error telemetry dashboard. Use when investigating error-telemetry issues with stack traces, error messages, and hit/user counts. Covers tracing data flow through call stacks, identifying producers of invalid data vs. consumers that crash, enriching error messages for telemetry diagnosis, and avoiding common anti-patterns like silently swallowing errors.

    Also in 3 projects that use this

  • busybutlazySkill

    update-skill

    Use this skill when the user wants to modify an existing public skill in this repository's canonical-skills, revise its workflow, or update its package metadata and version.

    Also in 3 projects that use this

  • DockerSkill

    review-pr

    Review one or more incoming Docker documentation pull requests as a maintainer. Independently validate technical claims, assess editorial fit and information architecture, choose a verdict, and draft exact inline or PR-wide feedback behind a confirmation gate. Use for requests such as "review PR 123", "is this PR correct?", "does this information belong here?", "validate this PR", or "help review backlog PRs". Do not use to maintain or fix a PR you own; use maintain-pr for that.

    Also in 3 projects that use this

  • +2 more from zerx-lab
  • Other versions6 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 6

    1. zerx-lab/warp★ 2.1ksame name
    2. zerx-lab/zap★ 2.1ksame name
    3. bholmesdev/hubble.md★ 1.5ksame name
    4. warpdotdev/common-skills★ 630same name
    5. charlesmatte/claude_code_skills★ 1same name
    6. thesammykins/skills★ 0same name

    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 repository6 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 6 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 6 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.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

Reviews can't be read right now.

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.

Check your setup, free