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Spec

Skill arendon1/agent-skills/process/spec

A curated collection of autonomous AI agent skills powered by Vercel's `skills` npm cli package. Specialized tools for productivity, document management, and custom LLM workflows.

Install
npx -y skills add arendon1/agent-skills --skill spec

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What its author says it does

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Detailed technical specification. Turn a PRD/ARD into a precise SPEC.md: exact schemas, algorithms, data shapes, edge cases, acceptance criteria. Sole mutator of SPEC.md in the active plan. Has NEW / AMEND / DISTILL modes. Use when the objective needs more detail than the ARD before planning, after design, or when the user says "spec this", "detailed spec", "specify the behavior".

SKILL.md

5.8 KB, as published. Nobody here has run it

spec — PRD/ARD into SPEC.md

Detailed technical specification. The sole mutator of SPEC.md in the active plan. Turns the PRD's requirements and the ARD's decisions into a precise spec: exact schemas, algorithms, data shapes, edge cases, acceptance criteria.

Spec is the right-size step between design and plan. Not every objective needs a SPEC — a small feature can go straight from PRD to PLAN (§11). Use spec when the behavior is detailed enough that tasks alone would leave ambiguity.

OWNERSHIP

Owns: SPEC.md in the active plan folder. Reads: PRD.md, ARD.md (if present), CONTEXT.md, the codebase. Hands off to: plan (→ PLAN.md). MUST NOT write PRD.md, ARD.md, PLAN.md, or LESSONS.md.

lessons (auto) appends to SPEC.md §V when a bug is found during build — spec allows that append (it owns the section, lessons is the sanctioned writer of bug-driven invariant additions). review may harden §V (propose, not silent rewrite).

WHEN (user-invoked)

  • After design produced an ARD.md, when detailed behavior is needed.
  • After grill on a detailed-but-not-architectural objective (skip design).
  • User says "spec this", "detailed spec", "specify the behavior", "write the spec".
  • Existing SPEC.md needs a targeted amendment.

STEP 0 — READ EXISTING STATE + DISPATCH

  1. Resolve the active plan per §6. If none, ask the user to run grill first.
  2. Read PRD.md (and ARD.md if present), CONTEXT.md, the relevant code.
  3. Dispatch on request + plan state:
StateRequestMode
No SPEC.md, args describe idea/behavior"spec this"NEW
No SPEC.md, from-code in args"distill spec from code"DISTILL
SPEC.md exists, args start amend"amend §V.3"AMEND
SPEC.md exists, no argsask user which mode

MODE: NEW — PRD/ARD into SPEC

Input: PRD.md (required), ARD.md (optional). If the PRD is fuzzy, stop and recommend grill first.

  1. Goal — copy PRD.md §G one-liner into SPEC.md §G.
  2. Constraints — copy PRD.md §C + any ARD.md constraints into §C.
  3. Interfaces — from ARD.md §I (or derive from PRD), write exact shapes:
    • api: POST /x -> 200 {id:string} with full request/response schemas.
    • cmd: foo bar <arg> -> stdout JSON with exit codes.
    • env: FOO_KEY MUST be set with type/format.
    • file: config.yaml schema.
  4. Invariants — from ARD.md §V (or derive), write testable rules. Each invariant MUST be assert-able or grep-able. Number monotonic V1, V2, ....
  5. Algorithms — for non-trivial logic, write the algorithm in caveman pseudocode or a small state machine. Trim to the decision-rich parts.
  6. Edge cases — enumerate inputs that break the happy path. Each edge case maps to an invariant or an explicit rejection rule.
  7. Acceptance criteria — list the observables that prove the spec is met. Each criterion cites the invariant(s) it proves: AC1 -> V1, V3.
  8. Tasks section — leave empty; plan writes PLAN.md separately. SPEC's job is behavior, not task breakdown.

Write to SPEC.md using caveman. Show the user the full file. Ask: "spec OK?"

MODE: DISTILL — code into SPEC

Walk the repo. Produce SPEC.md by inferring:

  • §G from README / package manifest / main entry.
  • §C from the stack (deps, language, build).
  • §I by enumerating public APIs / CLIs / configs / env vars.
  • §V by deriving from tests and assertions.
  • §E edge cases from any ? items or known TODOs.

Caveman everywhere. Flag uncertain items with ? so the user can confirm. This is the right mode when there is code but no spec and the user wants to anchor future work to documented current behavior.

MODE: AMEND — targeted edit

Input: amend §V.3 or amend §I etc.

Read that section. Show current. Ask the user what changes. Write. Show diff.

MUST NOT silently rewrite sections the user did not name. Sectioned ownership.

OUTPUT RULES

  • caveman format per the caveman skill.
  • Preserve identifiers, paths, code, numbers, error strings verbatim.
  • Numbering monotonic — never reuse V.N or B.N.
  • Every invariant MUST be testable (assert-able or grep-able).
  • Every interface shape MUST be exact (full schema, not "an object").
  • Use CONTEXT.md canonical terms throughout.

RIGHT-SIZE

A one-line fix gets no SPEC — go straight to plan. A small feature with an obvious shape gets a thin SPEC (§G + §I + §V). Only genuinely uncertain or high-blast-radius work gets the full set.

WHEN TO STOP

Done when:

  • §G, §C, §I, §V are written and the user agreed.
  • Every invariant is testable and numbered.
  • Every interface is exact.
  • Edge cases map to invariants or explicit rules.
  • Acceptance criteria cite invariants.
  • New terms are in CONTEXT.md.

HANDOFF

Tell the user: plan next (produces PLAN.md tasks, each citing the §V/§I it serves and naming the test that proves it).

BOUNDARIES

  • MUST NOT rewrite PRD.md or ARD.md. Route back if they are wrong.
  • MUST NOT write PLAN.md or LESSONS.md.
  • MUST NOT guess a requirement. If the PRD is silent, park as ? or route to grill.
  • MUST show a diff before writing on AMEND.
  • MUST use caveman and CONTEXT.md canonical terms.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.