feat: localize startup skills for China

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -43,6 +43,6 @@ body:
     id: agent
     attributes:
       label: AI agent used
-      placeholder: "Claude Code, Cursor, etc."
+      placeholder: "Qwen Code、Ollama、Gemini CLI 等"
     validations:
       required: false

AGENTS.md

@@ -1,210 +1,18 @@
 # AGENTS.md
 
-Guidelines for AI agents working in this repository.
+本仓库包含四个面向中国市场的通用 Agent Skills：`startup-design`、`startup-competitors`、`startup-positioning` 和 `startup-pitch`。
 
-## Repository Overview
+## 修改规则
 
-This repository contains the **startup** plugin for AI agents. The plugin namespace is `startup`, and it includes multiple skills organized in 3 categories: Design, Analyze, and Build (4 skills total).
+- 技能目录名必须与 `SKILL.md` frontmatter 的 `name` 一致，使用小写英文和连字符。
+- `description` 为 1—1024 个字符，包含清晰的中文触发场景；`SKILL.md` 不超过 500 行。
+- 默认使用简体中文；中国市场数据必须注明来源、日期、地域、币种和统计口径。
+- 阶段细节放入 `references/`，研究轮次文件使用 `research-wave-N-` 前缀并按需加载。
+- 不绑定特定商业模型，不要求付费订阅或 API Key；优先兼容通用 Agent Skills、免费额度模型和 Ollama 本地模型。
+- 搜索不可用时进入知识库模式，明确标记假设和待验证项，不伪造实时来源。
+- 四个技能的研究轮次必须顺序执行；轮内是否并行由当前 Agent 环境决定。
+- 修改后检查 YAML frontmatter、相对路径、文件行数和平台耦合词。
 
-- **Name**: Startup Skills
-- **GitHub**: [ferdinandobons/startup-skill](https://github.com/ferdinandobons/startup-skill)
-- **Creator**: Ferdinando Bons
-- **License**: MIT
+## Git
 
-## Skill Taxonomy
-
-| Category | Purpose | Skills |
-|----------|---------|--------|
-| **Design** | Full process, idea to validated plan | `startup-design` |
-| **Analyze** | Deep standalone analysis of one area | `startup-competitors`, `startup-positioning` |
-| **Build** | Post-validation execution tools | `startup-pitch` |
-
-## Repository Structure
-
-```
-startup-skill/                         # Plugin namespace (startup:*)
-├── .claude-plugin/
-│   └── marketplace.json               # Plugin definition (name must be "startup")
-├── startup-design/                    # Skill: startup:startup-design
-│   ├── SKILL.md                       # Main skill file (~476 lines, 8 phases + pre-flight & customer discovery)
-│   └── references/                    # Supporting documents loaded on demand
-│       ├── research-principles.md
-│       ├── research-scaling.md
-│       ├── research-wave-1-market.md
-│       ├── research-wave-2-competitors.md
-│       ├── research-wave-3-customers.md
-│       ├── research-wave-4-distribution.md
-│       ├── research-synthesis.md
-│       ├── verification-agent.md
-│       ├── customer-interview.md
-│       ├── intake-questions.md
-│       ├── output-specs.md
-│       ├── frameworks.md
-│       ├── industry-benchmarks.md
-│       ├── honesty-protocol.md
-│       └── output-guidelines.md
-├── startup-competitors/               # Skill: startup:startup-competitors
-│   ├── SKILL.md                       # Main skill file (~268 lines, 3 waves)
-│   └── references/
-│       ├── research-principles.md
-│       ├── research-scaling.md
-│       ├── research-wave-1-profiles-pricing.md
-│       ├── research-wave-2-sentiment-mining.md
-│       ├── research-wave-3-gtm-signals.md
-│       ├── research-synthesis.md
-│       ├── verification-agent.md
-│       └── honesty-protocol.md
-├── startup-positioning/               # Skill: startup:startup-positioning
-│   ├── SKILL.md                       # Main skill file (~302 lines, 2 waves)
-│   └── references/
-│       ├── research-principles.md
-│       ├── research-scaling.md
-│       ├── research-wave-1-alternatives.md
-│       ├── research-wave-2-market-frame.md
-│       ├── research-synthesis.md
-│       ├── verification-agent.md
-│       ├── frameworks.md
-│       └── honesty-protocol.md
-├── startup-pitch/                     # Skill: startup:startup-pitch
-│   ├── SKILL.md                       # Main skill file (~424 lines, 2 waves)
-│   └── references/
-│       ├── research-principles.md
-│       ├── research-scaling.md
-│       ├── research-wave-1-audience-narrative.md
-│       ├── research-wave-2-competitive-framing.md
-│       ├── research-synthesis.md
-│       ├── verification-agent.md
-│       ├── pitch-frameworks.md
-│       └── honesty-protocol.md
-├── CLAUDE.md
-├── AGENTS.md
-├── CONTRIBUTING.md
-├── LICENSE
-└── README.md
-```
-
-## Key Conventions
-
-### Naming Convention
-
-- **Plugin name** (`startup`): defined in `.claude-plugin/marketplace.json` → becomes the namespace prefix
-- **Skill name** (`startup-design`, `startup-competitors`): defined in `SKILL.md` frontmatter → must match directory name
-- **Command**: `/startup:startup-design`, `/startup:startup-competitors`, `/startup:startup-positioning`, `/startup:startup-pitch` — `plugin-name:skill-name`
-- Future skills go in the same repo as separate directories
-
-### Skill Format
-
-- `SKILL.md` uses YAML frontmatter with `name` and `description` fields
-- `name` must match directory name exactly (lowercase, hyphens)
-- `description` must be 1-1024 characters with trigger phrases
-- Keep `SKILL.md` under 500 lines; move details to `references/`
-- References are loaded progressively (only when needed for current phase)
-- Reference files use `research-wave-N-` prefix for consistency across skills
-
-### Research Architecture
-
-**startup-design** Phase 3 uses 4 sequential waves of parallel agents:
-- Wave 1: Market Landscape (3 agents)
-- Wave 2: Competitive Analysis (3 agents)
-- Wave 3: Customer & Demand (3 agents)
-- Wave 4: Distribution (2 agents)
-
-**startup-competitors** uses 3 sequential waves of parallel agents:
-- Wave 1: Competitor Profiles + Pricing Intelligence (2 agents)
-- Wave 2: Customer Sentiment Mining (2 agents)
-- Wave 3: GTM & Strategic Signals (2 agents)
-
-**startup-positioning** uses 2 sequential waves of parallel agents:
-- Wave 1: Competitive Alternatives + Customer Intelligence (2 agents)
-- Wave 2: Market Frame + Trends (2 agents)
-
-**startup-pitch** uses 2 sequential waves of parallel agents:
-- Wave 1: Audience & Narrative Intelligence (2 agents)
-- Wave 2: Competitive Framing & Why Now (2 agents)
-
-Each wave must complete before the next starts. Agents use WebSearch for real data. All skills support Claude.ai (sequential fallback) and Knowledge-Based Mode when WebSearch is unavailable.
-
-### Research Scaling
-
-All skills use dynamic research scaling. After intake, a complexity score (3-9) is calculated from market breadth, known competitors, and geographic scope. This maps to three tiers:
-
-- **Light** (3-4): Merged agents, 2-3 search rounds. Quick scan for niche markets.
-- **Standard** (5-7): Default behavior, unchanged from current wave structure.
-- **Deep** (8-9): Extra agents per wave, 5-6 search rounds. Thorough due diligence.
-
-Users can override with "light", "deep", or "ok". See each skill's `references/research-scaling.md` for wave configurations per tier.
-
-### Verification Agent
-
-All skills run a **V1: Verification** agent after synthesis. It audits deliverables for: unlabeled claims, internal contradictions, confidence rating consistency, missing data gaps, missing flags, stale data, and duplicate-source false corroboration. Each skill adds domain-specific checks (e.g., cross-phase consistency for startup-design, battle card coherence for startup-competitors). Output: `verification-report.md`. Critical issues pause the flow for user review. See each skill's `references/verification-agent.md`.
-
-### Output Structure
-
-**startup-design** generates files in subdirectories:
-- `00-intake/` — Brief, brainstorm, preflight, customer interviews
-- `01-discovery/` — Market research (raw + synthesized)
-- `02-strategy/` — Lean canvas, positioning, business model, GTM
-- `03-brand/` — Mission, vision, tone of voice
-- `04-product/` — MVP, features, user journey
-- `05-financial/` — Revenue, costs, projections
-- `06-validation/` — Experiments, risks, scorecard
-
-**startup-competitors** generates files in `{project-name}/`:
-- `intake.md` — Product and market context
-- `competitors-report.md` — Main deliverable with strategic analysis
-- `competitive-matrix.md` — Feature comparison table
-- `pricing-landscape.md` — Pricing analysis and positioning
-- `battle-cards/{competitor}.md` — Per-competitor one-pagers
-- `raw/` — Raw research data from each wave
-
-**startup-positioning** generates files in `{project-name}/`:
-- `intake.md` — Product and market context
-- `positioning-doc.md` — Main deliverable (Dunford 5 components)
-- `positioning-statement.md` — Moore + Neumeier statements + elevator pitch
-- `competitive-alternatives.md` — JTBD-informed alternatives map
-- `market-category-analysis.md` — Category candidates + recommendation
-- `messaging-implications.md` — Bridge from positioning to copy
-- `raw/` — Raw research data from each wave
-
-**startup-pitch** generates files in `{project-name}/`:
-- `intake.md` — Product, team, and pitch context
-- `pitch-full.md` — Full 10-minute pitch narrative
-- `pitch-5min.md` — Compressed 5-minute version
-- `pitch-2min.md` — Verbal 2-minute pitch script
-- `pitch-1min.md` — Elevator pitch (formal + casual)
-- `pitch-email.md` — Investor cold email + follow-up
-- `pitch-appendix.md` — Q&A preparation, objection handling
-- `pitch-deck-outline.md` — Slide-by-slide deck structure with headlines, visuals, speaker notes
-- `pitch-scorecard.md` — Pitch quality scoring rubric
-- `raw/` — Raw research data from each wave
-
-### Integration Between Skills
-
-`startup-competitors` can detect and leverage prior `startup-design` output. If files like `01-discovery/competitor-landscape.md` exist, it uses them as a starting point instead of re-interviewing.
-
-`startup-positioning` can detect and leverage output from BOTH `startup-design` (intake, discovery, strategy) and `startup-competitors` (battle cards, pricing landscape). It uses prior data as a head start and skips redundant intake questions.
-
-`startup-pitch` can detect and leverage output from ALL three other skills. `startup-design` is the recommended prior work (provides market data, business model, validation scorecard). It also reads `startup-competitors` (battle cards for Q&A prep) and `startup-positioning` (positioning statements, messaging hierarchy).
-
-### Testing
-
-Eval cases are in `{skill}-workspace/evals/evals.json`. To test:
-1. Run each eval prompt through the skill
-2. Grade against assertions in `eval_metadata.json`
-3. Compare with/without skill performance
-
-## Git Workflow
-
-### Commit Messages
-
-Follow conventional commits:
-- `feat: add new phase or capability`
-- `fix: improve skill instructions`
-- `docs: update README or CLAUDE.md`
-- `test: add or update eval cases`
-
-### Branch Naming
-
-- `feature/description`
-- `fix/description`
-- `docs/description`
+提交信息使用 Conventional Commits：`feat:`、`fix:`、`docs:` 或 `test:`。分支使用 `feature/`、`fix/` 或 `docs/` 前缀。