assemble
免费Dev-Critic loop: implement, review, fix — repeat until clean
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Create, reverse-engineer, or update living feature specs following the spec-anchored methodology.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Create, reverse-engineer, and update living feature specifications. Specs are the permanent source of truth for a feature's architectural intent; code is the source of truth for execution logic. Operate at the spec-anchored maturity level.
specs/dev)specs/ship)lead), but may suggest PBI breakdownsDetermine the mode from the task input:
reverse <feature-domain> or reverse <file-paths> — reverse-engineer a spec from existing codeupdate <feature-domain> — update an existing spec to reflect current realityspecs/TEMPLATE.md — if it exists, use it as the base template for new specsAGENTS.md and ARCHITECTURE.md if they exist (global project context)src/content/practices/living-specs.md — spec maintenance methodologysrc/content/patterns/the-spec.md — what a spec IS, structurallysrc/content/concepts/spec-driven-development.md — SDD maturity levelssrc/content/config.ts — data schemasspecs/{feature-domain}/spec.mdCreate:
specs/ for related specs that should be cross-referencedReverse:
Update:
Write the spec to specs/{feature-domain}/spec.md.
Use specs/TEMPLATE.md as the base if it exists. Otherwise use:
# Feature: [Feature Name]
## Blueprint
### Context
[1-2 paragraphs: Why does this feature exist? What problem does it solve?]
### Architecture
- **API Contracts:**
- `POST /api/v1/[endpoint]` — [Description, request/response shapes]
- `GET /api/v1/[endpoint]/:id` — [Description]
- **Data Models:** Defined in `[path/to/types]`, validated by `[path/to/schema]`
- **Dependencies:**
- Depends on: [services, libraries, external APIs]
- Depended on by: [downstream consumers]
- **Constraints:** [Security, compliance, or architectural boundaries stated as
facts. Only include rules not already captured by the architecture above.]
## Contract
### Definition of Done
- [ ] [Observable, measurable success criterion]
- [ ] [Each must be independently verifiable by CI or a reviewer]
### Regression Guardrails
- [Invariant that must never break, across all future changes]
### Scenarios
```gherkin
Scenario: [Descriptive name]
Given [Precondition]
When [Action]
Then [Expected outcome]
```
Authoring rules:
Then the system does NOT store credentials in localStorage is a verifiable contract.src/types/User.ts" is actionable. "The user model" is ambiguous.import lines, or exact serialization — those drift on the next refactor. If a block would need editing on a pure refactor with no contract change, replace it with a file-path reference. See the Copy-Paste Codebase anti-pattern in src/content/practices/living-specs.md.specs/ for related specs that should link to this one[DEPRECATED yyyy-mm-dd] with rationale, not deletedBefore finishing, subtract. Remove anything a reader could confirm by opening the code — transcribed snippets, real symbol names, field-by-field serialization — and replace each with a file-path reference. Ask of every code block: does this illustrate intent, or mirror the implementation? In reverse and update mode especially, a spec that grew is a red flag: reconciliation should usually make a spec smaller.
If specs/TEMPLATE.md does not exist, offer to save it for future consistency.
[DEPRECATED] with rationale.$ARGUMENTS
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Dev-Critic loop: implement, review, fix — repeat until clean
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Assess source material against the ASDLC Knowledge Base and produce an evidence-calibrated Content Review Report.
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Perform an adversarial review of the current uncommitted changeset, validating it against project contracts and architectural intent.
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Triage the content corpus against the latest GSC snapshot and produce a prioritized refresh report. Read-only: reports, never edits.
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Implement features, fix bugs, and keep the codebase healthy and maintainable. Works from a defined PBI, issue, or task description.
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GEO+SEO audit of asdlc.io — analyzes the codebase for Generative Engine Optimization across AI citability, technical infrastructure, content quality, schema markup, and knowledge base discoverability. Produces a composite GEO Score (0-100) with prioritized action plan.
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