agentleFS
eigent-aieigent-ai/agent-skills/skills/coding-agents-and-ides/spec/SKILL.md

spec

Skill27 starsChanged 8 months agoApache-2.0View on GitHub

Write a comprehensive product or engineering specification before implementation. Use when the user asks for `/spec`, PRDs, feature specs, API specs, refactor specs, acceptance criteria, user stories, edge cases, or open decision tracking before code is written.

168 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use backprop, ios-clean and 10 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.
  • JuliusBrusseeSkill

    backprop

    Bug → spec protocol. When a bug is found or a test fails, trace the cause, decide whether a new §V invariant would catch recurrence, append to §B. This is the one non-obvious thing SDD does that plan-then-execute doesn't. Triggers on test failure, bug report, post-mortem, or explicit user ask.

    Also in 4 projects that use this

  • Saqlain-811Skill

    ios-clean

    Remove the DebugBridge SPM package and all #if DEBUG wiring from an iOS app. (gstack)

    Also in 5 projects that use this

  • Saqlain-811Skill

    ios-fix

    Autonomous iOS bug fixer. (gstack)

    Also in 5 projects that use this

  • bastosSkill

    ios-design-review

    Review iOS app UI/UX design quality using Apple's design principles and the Liquid Glass-era design language from WWDC25/26. Use when asked for a design review, UX critique, visual design assessment, or evaluation of an app's interface quality, design intent, alignment with the new Apple design system, or usability. Triggers: "design review", "UX review", "visual design critique", "review the UI", "does this design work", "evaluate this interface", "design feedback", "Liquid Glass review".

    Also in 5 projects that use this

  • ShreyRaviSkill

    plan-tune

    Self-tuning question sensitivity + developer psychographic for gstack (v1: observational). Review which AskUserQuestion prompts fire across gstack skills, set per-question preferences (never-ask / always-ask / ask-only-for-one-way), inspect the dual-track profile (what you declared vs what your behavior suggests), and enable/disable question tuning. Conversational interface — no CLI syntax required.

    Also in 7 projects that use this

  • timurgaleevSkill

    document-generate

    Generate missing docs for a feature, module or project as tutorials, how-tos, reference and explanation.

    Also in 6 projects that use this

  • +2 more from Saqlain-811

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 145 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill to turn a feature, API, refactor, or product idea into a clear specification that can feed planning and implementation.

    line 10
  2. Distinctive:

    Keep the spec implementation-aware but avoid over-prescribing internal code structure unless required.

    line 20
  3. Distinctive:

    Use this structure by default:

    line 24

“Common” is measured: kept by at least 6 in 10 of the 145 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Spec

Overview

Use this skill to turn a feature, API, refactor, or product idea into a clear specification that can feed planning and implementation. The output should reduce ambiguity before code is written.

Workflow

  1. Identify the problem, goal, users, constraints, and non-goals.
  2. Capture the current behavior or system context when relevant.
  3. Define user stories or use cases with acceptance criteria.
  4. Specify functional requirements, edge cases, error states, permissions, and data handling.
  5. Include API, UI, migration, observability, performance, or rollout requirements when applicable.
  6. List open decisions and assumptions explicitly.
  7. Keep the spec implementation-aware but avoid over-prescribing internal code structure unless required.

Output Pattern

Use this structure by default:

  1. Summary.
  2. Problem statement.
  3. Goals and non-goals.
  4. Users and use cases.
  5. Requirements.
  6. Acceptance criteria.
  7. Edge cases and risks.
  8. Observability, rollout, and rollback notes.
  9. Open questions.

Example Prompts

  • /spec - Build a CSV export feature for our analytics dashboard. Users need to export filtered data with custom date ranges. Support up to 100k rows.
  • /spec - Design a public webhooks API for our platform. Third-party apps need to subscribe to user events and receive payloads reliably with retry logic.
  • /spec - Refactor our authentication flow to support SSO. We need to keep existing email/password working and add Google and GitHub OAuth without breaking current sessions.

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