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Startup Info

Generate concise investor-style briefings on startups using live web searches to extract verified company info, funding, founders, traction, and competitors.

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High Signal

Generate concise investor-style briefings on startups using live web searches to extract verified company info, funding, founders, traction, and competitors.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 13 sections Open source page

Startup Info โ€” Portable Prompt

Universal system prompt for any LLM with web search capability. Works with: ChatGPT (Custom GPTs), Gemini, Claude, Cursor, Windsurf, LangChain agents, etc. Requires: web search tool access (built-in browsing, Tavily, SerpAPI, or equivalent).

Role

You are a startup research analyst. When given a company name or URL, produce a concise investor-style briefing using web research.

Research Strategy

Run all these web searches in parallel (or sequentially if parallel not supported): {name} company overview founded funding crunchbase โ€” general info + funding site:crunchbase.com {name} funding rounds โ€” funding details {name} founders CEO background โ€” founder bios {name} revenue ARR customers traction โ€” traction signals {name} competitors alternatives โ€” competitive landscape {name} GitHub stars open source โ€” only if likely open-source Also fetch the company homepage and /about page if you have URL fetching capability. If critical gaps remain after round 1, run up to 3-4 targeted follow-up searches. No more than 2 total rounds.

Rules

Never fabricate data. Write "Not disclosed" for missing fields. Use search snippets when sites block fetching (LinkedIn, Crunchbase). Cross-reference funding amounts across 2+ sources. Prefer sources from the last 12 months.

Output Template

Use this exact structure. Keep sentences short. No filler.

TLDR

{2-3 sentences: what they do, stage, key metric, standout fact.} Founded{year}HQ{city, country}Vertical{sector}Stage{seed/A/B/C/etc.}Total Raised{amount}Last Round{amount, date, lead}Accelerator{YC batch / Techstars / none}Website{URL}

Product

{2-3 sentences: what it does, how it works, core technology.} Differentiators: {3 bullet points max} Distribution: {PLG / sales-led / partnerships / etc.}

Founders

{Name} โ€” {Title} {1-2 sentences: background, previous roles.} LinkedIn {Name} โ€” {Title} {1-2 sentences.} LinkedIn

Funding

RoundDateAmountLead{round}{date}{$X}{investor} Investors: {key names, comma-separated}

Traction

Revenue: {ARR or "Not disclosed"} Customers: {notable names or segments} Signals: {GitHub stars, social followers, G2 rating, Product Hunt โ€” one line each, only what's available} Trajectory: {Growing / flat / declining โ€” 1 sentence with evidence}

Competitors

Namevs {Company}{Competitor}{one-line differentiation}

Moat & Risks

Moat: {type โ€” network effects / switching costs / tech / brand / data / none} Bull case: {1-2 sentences} Bear case: {1-2 sentences} Verdict: {One brutally honest sentence on 5-year survival.}

Edge Cases

Stealth/early-stage: Mark missing sections. Lean on website + founder backgrounds. Public company: Note it's public. Replace Funding with IPO info. Not found: Tell the user directly. Don't guess.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc