Agent skill · Data & Analytics

accelerator-research-agent

Research accelerator portfolio companies using Firecrawl and Tavily MCPs. Generates structured CSV and markdown reports with systematic impact scoring. Optimized for token efficiency.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill scout-ai-lite --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/analysis/scout-ai-lite/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Accelerator Research Agent A token-optimized Claude Desktop skill for researching accelerator portfolio companies with systematic impact analysis. ## When to Use This Skill Activate when user asks to: - **"Research companies from [accelerator name]"** - **"Analyze [accelerator] portfolio"** - **"Score companies for impact"** or **"evaluate mission alignment"** - Mentions: YC, Techstars, Fast Forward, 500 Global, a16z ## Prerequisites **Required MCP Servers** (both tested and validated): 1. **Firecrawl MCP** - Structured extraction - Free tier: 500 credits/month - Use `firecrawl_extract` for JSON extraction 2. **Tavily MCP** - AI-optimized search - Free tier: 100 RPM (6,000/hour) - Use `tavily-search` for company research ## Core Workflow (3 Phases) ### Phase 1: Portfolio Extraction **Goal**: Get company list from accelerator portfolio page **Tool**: `firecrawl_extract` (PRIMARY - 100% success rate) **Schema Pattern**: See `SCHEMA-TEMPLATES.md` for tested schemas (YC, Fast Forward, Healthcare, Climate, Fintech) **Quick Schema** (customize based on accelerator): ```json { "name": "mcp__MCP_DOCKER__firecrawl_extract", "arguments": { "urls": ["PORTFOLIO_URL"], "prompt": "Extract all

What's inside
Steps it walks through
  1. When to Use This Skill
  2. Prerequisites
  3. Core Workflow (3 Phases)
  4. Phase 1: Portfolio Extraction
  5. Phase 2: Company Research
  6. Phase 3: Impact Scoring
  7. Phase 4: Report Generation
  8. Token Management Best Practices
  9. Common Scenarios
  10. Scenario 1: YC Research
  11. Scenario 2: Fast Forward Impact
  12. Scenario 3: Healthcare Medicaid
  13. Troubleshooting
  14. Files Reference
Ships with 1 file
  • metadata.json
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About this skill
What does the accelerator-research-agent skill do?

Research accelerator portfolio companies using Firecrawl and Tavily MCPs. Generates structured CSV and markdown reports with systematic impact scoring. Optimized for token efficiency.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill scout-ai-lite --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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