jgsystemsconsulting/jgs-goal-spec

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name: goal-spec description: Turn a goal (or a goal + draft spec) into a complete, detailed engineering specification by defining all eight spec sections and asking gap-filling clarifying questions grounded in the user's stated goal. Use when you say "spec this goal", "write a spec for X", "define the specification", "flesh out the spec", or have a goal that needs to become an implementable design. Pairs with goal-formatter (upstream) and spec-review (downstream). Model-agnostic. compatibility: Git, repo read access, AskUserQuestion (for clarifying questions)

Goal Spec

Convert a goal into a complete engineering specification. The goal-formatter answers "what does done look like?"; this skill answers "what exactly are we building, and how?" — by defining every section of the spec and asking the user gap-filling questions wherever the goal leaves a section under-determined.

This is the middle skill in a three-skill chain:

goal-formatter  →  goal-spec  →  spec-review
 (goal + draft     (THIS: full     (autonomous
  spec, optional)   defined spec    multi-discipline
                    via Q&A)        hardening loop)

Each skill is independently invocable. The handoff works because all three use the same 8-section engineering spec template (defined below — this skill owns it).

When to use

Trigger phrases:

• "Spec this goal" / "Write a spec for X"
• "Define the specification" / "Flesh out the spec"
• "Turn this goal into a spec"
• "I have a goal, now I need the detailed design"

Best for:

• A goal that's clear on done but vague on how / what exactly
• Work where requirements, constraints, and design approach need to be pinned down before coding
• Producing an artifact you'll then harden with spec-review

Inputs this skill accepts

1. A goal (e.g. the output of goal-formatter) — most common.
2. A goal + draft spec (goal-formatter's spec mode output) — this skill completes and refines the draft rather than starting blank.
3. A raw description — if no goal exists yet, suggest running goal-formatter first, but you MAY proceed by inferring an implicit goal from the description.

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The canonical engineering spec template (8 sections)

This is the shared contract across goal-formatter (draft-spec mode), goal-spec, and spec-review. All three MUST use these exact section names so handoffs line up with no orphaned or renamed sections.

# Specification: <title>

## 1. Problem & Context
What problem this solves, why now, and the background a reader needs. Tie back to the
originating goal: one line stating the goal this spec satisfies.

## 2. Scope
- **In scope:** explicit list of what this spec covers.
- **Out of scope:** explicit list of what it deliberately excludes (prevents scope creep).

## 3. Requirements
- **Functional (FR1, FR2, …):** what the system MUST do, numbered for traceability.
- **Non-functional (NFR1, NFR2, …):** performance, security, reliability, usability,
  maintainability targets — each measurable where possible.

## 4. Constraints
Hard limits the design must respect: tech stack, platforms, compatibility, regulatory,
budget, timeline, "must not change" baselines. Distinct from requirements — these bound
the solution space rather than describe behaviour.

## 5. Design Approach
The proposed solution shape: components, data flow, key interfaces, major decisions and
their rationale. Note alternatives considered and why rejected, where it matters.

## 6. Success Criteria
Observable, binary done/not-done conditions. Each criterion maps to a requirement and to a
verification step. (Inherits the goal's success criteria; refines them to spec granularity.)

## 7. Risks & Mitigations
What could go wrong (technical, integration, dependency, adoption) and the planned
mitigation or contingency for each.

## 8. Open Questions
Anything still undecided. Every item here is either (a) resolved via a clarifying question
to the user, or (b) explicitly flagged as deferred with an owner/trigger for resolution.

A copy-pasteable version of this template lives at references/spec-template.md in this skill's directory.

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What the skill does

1. Read the goal and any draft spec

• Parse the supplied goal (success criteria, constraints, scope, verification).
• If a draft spec was provided, map its content onto the 8 sections.
• Read relevant repo state (git history, memory, code) the way goal-formatter does, so the spec is grounded in reality, not invented.

2. Draft all 8 sections

Fill every section from the goal + repo context. Where the goal supplies an answer, use it. Where it doesn't, mark the section with an explicit [GAP: …] placeholder describing what's missing — do NOT silently invent. Collect every [GAP: …] into the Open Questions section.

3. Ask gap-filling clarifying questions (the core of this skill)

For each [GAP], decide: can I resolve it from the goal/repo, or must I ask the user?

Ask the user via AskUserQuestion when the gap is a genuine decision only they can make (scope boundary, priority, target numbers, tech choice, acceptable trade-off). Rules:

• Group related gaps; ask in batches of up to 4 questions per AskUserQuestion call.
• Ground every question in the user's stated goal — reference what they said they wanted, so the question reads as "to satisfy your goal of X, which of these…?" not a generic survey.
• Offer concrete options with trade-offs; recommend one (mark it "(Recommended)") when there's a sensible default.
• Only ask what changes the spec. If a gap has an obvious default, fill it and note the assumption in the spec rather than asking.

Resolve yourself (no question) when the goal or repo already implies the answer, or a conventional default clearly applies — record it as a stated assumption in the relevant section.

4. Integrate answers and finalize

• Fold every answer back into the right section.
• Clear resolved items from Open Questions; leave only genuinely-deferred ones (each flagged with why it's deferred and what would resolve it).
• Re-check section consistency: Requirements ↔ Success Criteria ↔ Design Approach must describe the same system.

5. Self-review before presenting (MANDATORY)

Run the Spec Self-Review Rubric (below) against the draft. Fix any FAIL (max 2 rounds), then present. This mirrors goal-formatter's step-3 gate — a spec that ships with hidden gaps fails downstream in spec-review or in implementation.

6. Offer the handoff

After presenting the spec, tell the user they can run spec-review to harden it through an autonomous multi-discipline review loop. Don't auto-invoke it — let the user choose.

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Apply model-agnostic framing principles

The spec is written so any model or agent can implement from it without your context:

• Number requirements (FR1, NFR1…) so they're individually addressable and traceable.
• Imperative, unambiguous language — MUST / MUST NOT / ONLY, not "should" / "try to".
• Self-contained — spell out file paths, IDs, versions, baselines inline; assume zero conversation history.
• Decompose the Design Approach into independent components with stated dependencies; name what can be built in parallel vs. what is strictly sequential.
• State measurable targets in NFRs ("p95 < 200ms", not "fast").
• Mark execution parallelism — in the Design Approach, explicitly say which components are INDEPENDENT (can be built concurrently by parallel subagents) vs. strictly sequential. The downstream executor uses this to parallelise; an undecomposed blob forces slow serial work.

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Spec Self-Review Rubric

Run against every drafted spec in step 5 before presenting. Each row PASS/FAIL. Any FAIL → revise (max 2 rounds), then present with explicit flags for anything still failing.

#	Check	PASS looks like	FAIL looks like
1	All 8 sections present	Every template section has real content	A section missing or left as a heading
2	Requirements numbered & testable	Each FR/NFR is atomic, numbered, and verifiable	Vague blobs, unnumbered, untestable
3	Scope both ways	In-scope AND out-of-scope explicitly listed	Only in-scope, or open-ended
4	Constraints distinct from requirements	Constraints bound the solution; requirements describe behaviour	The two conflated or constraints absent
5	Design maps to requirements	Every FR is satisfied by something in Design Approach	Requirements with no design, or design for nothing
6	Success criteria measurable & mapped	Each criterion is binary, has a NUMERIC threshold (or an objective observation), AND names the verification method + sample size where physical	"Works well", adjectives, or a criterion with no stated test method
7	Grounded in repo reality	Paths, versions, counts verified, not guessed	Invented specifics
8	No silent gaps	Every gap is either resolved or listed in Open Questions	A [GAP] left buried in a section
9	Risks have mitigations	Each named risk has a mitigation/contingency	Risks listed with no response
10	Self-consistent	Sections 1, 3, 5, 6 describe the same system; a value (number/part/term) appears identically everywhere it is referenced	Sections contradict each other; the same fact stated two different ways
11	Every NFR/safety target is testable	Each performance, safety, or regulatory target is a number/range a test can pass/fail	A safety or perf target stated as an adjective, or with no acceptance test
12	No unstated assumptions	Any value the skill filled by default (not user-given) is explicitly labelled as an assumption	A specific value asserted as fact when it was actually a guess

Revision discipline: fix the specific failing row; re-score only after editing. If two rounds can't clear a row, present the spec with that row flagged as a residual risk.

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Example flow

You say:

"Spec this goal" — and paste a goal-formatter goal about adding a rate limiter to the public API.

The skill:

1. Maps the goal's success criteria/constraints onto the 8 sections; reads the API code.
2. Drafts all 8; finds gaps: which limiting algorithm? per-key or per-IP? what limit values? what happens on breach (429 vs queue)? Marks each [GAP].
3. Asks via AskUserQuestion, grounded in the goal: "To satisfy your goal of protecting the public API without harming legit users, which limiting strategy?" → token-bucket (Recommended) / fixed-window / sliding-log, with trade-offs.
4. Folds answers in; clears Open Questions; checks consistency.
5. Self-reviews against the rubric; revises.
6. Presents the full spec and offers: "Run spec-review to harden this autonomously?"

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What you do after

1. Review the spec; adjust anything the Q&A didn't catch.
2. Run spec-review to drive it through autonomous multi-discipline hardening to convergence.
3. Implement from the hardened spec (any model/agent), or feed it into your planning workflow.

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Relationship to the other skills

• Upstream — goal-formatter: produces the goal (and optionally a draft spec) this skill completes. If the user only has a rough idea, point them there first.
• Downstream — spec-review: takes the spec this skill produces and hardens it through an autonomous roundtable of engineering-discipline reviewers until it converges (no CRITICAL/MAJOR findings). Self-contained — no dependency on any other skill.