to-spec
Turn the current conversation into a spec and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.
- License 许可
- MIT
- 最近更新
- 2026-09-22
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01 前言 Front Matter
- name
- to-spec
- description
- Turn the current conversation into a spec and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.
- disable-model-invocation
- true
02 资源文件 1
- 参考文档agents/openai.yaml135 B
03 SKILL.md 正文
This skill takes the current conversation context and codebase understanding and produces a spec (you may know this document as a PRD). Do NOT interview the user — just synthesize what you already know.
The issue tracker and triage label vocabulary should have been provided to you — run /setup-matt-pocock-skills if not.
Process
-
Explore the repo to understand the current state of the codebase, if you haven't already. Use the project's domain glossary vocabulary throughout the spec, and respect any ADRs in the area you're touching.
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Sketch out the seams at which you're going to test the feature. Existing seams should be preferred to new ones. Use the highest seam possible. If new seams are needed, propose them at the highest point you can. The fewer seams across the codebase, the better - the ideal number is one.
Check with the user that these seams match their expectations.
- Write the spec using the template below, then publish it to the project issue tracker. Apply the
ready-for-agenttriage label - no need for additional triage.
<spec-template>
Problem Statement
The problem that the user is facing, from the user's perspective.
Solution
The solution to the problem, from the user's perspective.
User Stories
A LONG, numbered list of user stories. Each user story should be in the format of:
- As an <actor>, I want a <feature>, so that <benefit>
<user-story-example>
- As a mobile bank customer, I want to see balance on my accounts, so that I can make better informed decisions about my spending </user-story-example>
This list of user stories should be extremely extensive and cover all aspects of the feature.
Implementation Decisions
A list of implementation decisions that were made. This can include:
- The modules that will be built/modified
- The interfaces of those modules that will be modified
- Technical clarifications from the developer
- Architectural decisions
- Schema changes
- API contracts
- Specific interactions
Do NOT include specific file paths or code snippets. They may end up being outdated very quickly.
Exception: if a prototype produced a snippet that encodes a decision more precisely than prose can (state machine, reducer, schema, type shape), inline it within the relevant decision and note briefly that it came from a prototype. Trim to the decision-rich parts — not a working demo, just the important bits.
Testing Decisions
A list of testing decisions that were made. Include:
- A description of what makes a good test (only test external behavior, not implementation details)
- Which modules will be tested
- Prior art for the tests (i.e. similar types of tests in the codebase)
Out of Scope
A description of the things that are out of scope for this spec.
Further Notes
Any further notes about the feature.
</spec-template>
04 同仓库更多 Skills
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Drive one observable software behavior at a time through a valid Test-Driven Development cycle: select the test, prove Red for the intended reason, implement the smallest Green change, and preserve the test as regression evidence. Use before adding production behavior, fixing defects, changing contracts, or safely characterizing legacy behavior. Also use when tests are brittle, over-mocked, skipped, weakened, or passing without proving the requirement.
suite-orchestrator
Route complex work across the complete Agent Skill Suite while enforcing content preservation, explicit scope, correct specialist timing, evidence-backed completion, and durable state. Use when a task involves coding, agent operations, repository bootstrapping, conversation compilation, artifact generation, expert review, persistent memory, or several of these together. Also use when the correct skill is unclear or work must pass through multiple specialist skills in a controlled sequence.
solid-design
Design, refactor, and review object-oriented or modular code with the SOLID principles while preserving behavior and avoiding needless abstraction. Use when defining responsibilities, extension seams, subtype contracts, consumer interfaces, dependency direction, modules, services, strategies, plugins, adapters, repositories, or architecture boundaries; also use when test friction, tangled dependencies, large classes, unsupported methods, framework leakage, or repeated variant branches signal a structural problem.
quality-gates
Verify engineering work against required behavioral, architectural, regression, build, security, compatibility, documentation, and diff-hygiene evidence before completion. Use after a code change, defect fix, refactor, migration, generated-code update, or implementation plan appears complete; also use for read-only code reviews and release-readiness checks. Return PASS or BLOCKED without implementing the remediation.
loop-engineering
Execute non-trivial software work through small, observable build-test-observe-adjust loops with explicit hypotheses, evidence, outcomes, and next actions. Use throughout feature implementation, debugging, refactoring, migrations, performance work, and complex verification where feedback must guide each subsequent step. Use when work is stalling, changes are growing too large, failures repeat, or an engineering ledger is required.
local-memory
Maintain fast, durable, curated local memory for AI agents on Android, Termux, Linux, macOS, Windows, or other lightweight environments. Use when an agent must remember stable preferences, project facts, decisions, procedures, failure resolutions, and task state across sessions; retrieve relevant memories before planning; resolve conflicting or stale memories; or provide explicit remember, search, pin, update, forget, status, and export controls without a cloud dependency.