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[Architecture] Use when designing solution architecture across backend, frontend, deployment, monitoring, testing, and code quality.
[Utilities] Use when you need to answer technical and architectural questions.
[Content] Use when you need to brainstorm as a PO/BA — structured ideation for problem-solving, new product creation, or feature enhancement.
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基于 SOC 职业分类
| name | workflow-seed-test-data |
| version | 1.0.0 |
| description | [Workflow] Use when activating the Seed Test Data workflow for idempotent QC happy-path seeders. |
| disable-model-invocation | false |
Goal: [Workflow] Trigger Seed Test Data workflow — scout existing seeder patterns, implement idempotent QC happy-path seeders via application commands, review compliance, simplify.
Workflow:
Key Rules:
file:line) with confidence >80% to act.Business Intent / Invariant Guarded or the protected business intent/invariant and ensure the test would fail if that intent breaks.IMPORTANT MANDATORY Steps: /scout -> /investigate -> /seed-test-data -> /review-changes -> /code-simplifier -> /docs-update -> /workflow-end -> /watzup
[BLOCKING] Each step MUST ATTENTION invoke its
Skilltool — marking a taskcompletedwithout skill invocation is a workflow violation. NEVER batch-complete validation gates.
[CRITICAL] Read Project Config Gate: The
/seed-test-datastep MUST readdocs/project-config.json→ 'Data Seeders' context group anddocs/project-reference/seed-test-data-reference.mdBEFORE writing any seeder code. Seeder written without reading the project base class and DI scope pattern is guaranteed to be wrong.
Activate the workflow-seed-test-data workflow. Run /start-workflow workflow-seed-test-data with the user's prompt as context.
Steps: /scout → /investigate → /seed-test-data → /review-changes → /code-simplifier → /docs-update → /workflow-end → /watzup
[STEP PURPOSES] Every step has a distinct purpose — NEVER deduplicate or batch:
/scout— Find feature area command files; locate existing seeders in the same service for pattern matching. Output: target seeder file path (or "none — create new") + existing seeder examples./investigate— Read the commands the seeder will call. Map: required inputs, validation rules, side effects, cross-service dependencies. Output: command signature list + dependency chain (what data must pre-exist)./seed-test-data— Implement or enhance the seeder. Environment gate FIRST → read count from config → idempotency check → loop from existing to target → dispatch application commands with realistic, diverse inputs./review-changes— Full compliance review: environment gate present, count read from config key, idempotency correct (loop fromexistingnot from0), no direct DB writes for domain entities, project's scoped DI mechanism used per iteration./code-simplifier— DRY and simplify the seeder without changing behavior. Merge duplication, extract reusable builders, remove unnecessary scaffolding./docs-update— Triage doc impact from changed seeder files. Update feature docs if dev-data coverage changed materially./workflow-end+/watzup— Close workflow state, then summarize and run the final/understandhandoff.
IMPORTANT MANDATORY Steps: /scout -> /investigate -> /seed-test-data -> /review-changes -> /code-simplifier -> /docs-update -> /workflow-end -> /watzup
AI Mistake Prevention — Failure modes to avoid on every task:
Re-read files after context changes. Context compaction, resume, or long-running work can make memory stale; verify current files before acting. Verify generated content against source evidence. AI hallucinates APIs, names, claims, and document facts. Check the relevant source before documenting or referencing. Check downstream references before deleting or renaming. Removing an artifact can stale docs, generated mirrors, configs, and callers; map references first. Trace the full impact chain after edits. Changing a definition can miss derived outputs and consumers. Follow the affected chain before declaring done. Verify ALL affected outputs, not just the first. One green check is not all green checks; validate every output surface the change can affect. Assume existing values are intentional — ask WHY before changing. Before changing a constant, limit, flag, wording, or pattern, read nearby context and history. Surface ambiguity before acting — don't pick silently. Multiple valid interpretations require an explicit question or stated assumption with risk. Keep shared guidance role-relevant. Universal guidance must help every receiving skill or agent; code-specific obligations belong only in code-specific protocols.
Nested Task Expansion Contract — For workflow-step invocation, the
[Workflow] ...row is only a parent container; the child skill still creates visible phase tasks.
- Call
TaskListfirst. If a matching active parent workflow row exists, setnested=trueand recordparentTaskId; otherwise run standalone.- Create one task per declared phase before phase work. When nested, prefix subjects
[N.M] $skill-name — phase.- When nested, link the parent with
TaskUpdate(parentTaskId, addBlockedBy: [childIds]).- Orchestrators must pre-expand a child skill's phase list and link the workflow row before invoking that child skill or sub-agent.
- Mark exactly one child
in_progressbefore work andcompletedimmediately after evidence is written.- Complete the parent only after all child tasks are completed or explicitly cancelled with reason.
Blocked until:
TaskListdone, child phases created, parent linked when nested, first child markedin_progress.
Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
Incremental Result Persistence — MANDATORY for all sub-agents or heavy inline steps processing >3 files.
- Before starting: Create report file
plans/reports/{skill}-{date}-{slug}.md- After each file/section reviewed: Append findings to report immediately — never hold in memory
- Return to main agent: Summary only (per SYNC:subagent-return-contract) with
Full report:path- Main agent: Reads report file only when resolving specific blockers
Why: Context cutoff mid-execution loses ALL in-memory findings. Each disk write survives compaction. Partial results are better than no results.
Report naming:
plans/reports/{skill-name}-{YYMMDD}-{HHmm}-{slug}.md
Sub-Agent Return Contract — When this skill spawns a sub-agent, the sub-agent MUST return ONLY this structure. Main agent reads only this summary — NEVER requests full sub-agent output inline.
## Sub-Agent Result: [skill-name] Status: ✅ PASS | ⚠️ PARTIAL | ❌ FAIL Confidence: [0-100]% ### Findings (Critical/High only — max 10 bullets) - [severity] [file:line] [finding] ### Actions Taken - [file changed] [what changed] ### Blockers (if any) - [blocker description] Full report: plans/reports/[skill-name]-[date]-[slug].mdMain agent reads
Full reportfile ONLY when: (a) resolving a specific blocker, or (b) building a fix plan. Sub-agent writes full report incrementally (per SYNC:incremental-persistence) — not held in memory.Context budget — the return payload is a SUMMARY, not a transcript: ≤10 finding bullets, no raw file contents / full diffs / verbatim logs inline, no re-pasted source. Everything beyond the summary lives in the
Full reporton disk. A sub-agent that would exceed the summary shape MUST write the detail to its report and return only the pointer — the orchestrator's context is the scarce resource the whole map-reduce protects.
MUST ATTENTION apply critical + sequential thinking — every claim needs appropriate traced evidence (file:line for repo/code claims; source URL or artifact section for research, product, content, and docs claims); confidence >80% to act, <60% DO NOT recommend. Anti-hallucination: never present guess as fact, admit uncertainty freely, cross-reference independently, stay skeptical of own confidence.
MUST ATTENTION apply AI mistake prevention — verify generated content against evidence, trace downstream references before deleting or renaming, verify all affected outputs, re-read files after context loss, and surface ambiguity before acting.
[N.M] $skill-name — phase prefixes and one-in_progress discipline.IMPORTANT MUST ATTENTION Goal: [Workflow] Trigger Seed Test Data workflow — scout existing seeder patterns, implement idempotent QC happy-path seeders via application commands, review compliance, simplify.
IMPORTANT MUST ATTENTION — Protocols in force (concise digest of the SYNC/shared blocks this skill carries; NEVER skip one):
in_progress.file:line proof per claim, confidence >80% to act.plans/reports/ per file, never hold in memory.Full report: pointer.IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting
IMPORTANT MUST ATTENTION read docs/project-config.json → 'Data Seeders' AND docs/project-reference/seed-test-data-reference.md BEFORE writing any seeder code
IMPORTANT MUST ATTENTION NEVER call repository/DB directly for domain entities — use application-layer commands only
IMPORTANT MUST ATTENTION ALWAYS gate by environment FIRST; ALWAYS check count before seeding
IMPORTANT MUST ATTENTION loop from existing_count to target_count — NEVER from 0 (restart-safety)
IMPORTANT MUST ATTENTION use project's scoped DI mechanism per iteration — never share a DI scope across loop iterations
IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)
IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.
[IMPORTANT] Analyze how big the task is and break it into many small todo tasks systematically before starting — this is very important.