Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
Research
Deep market research — competitor analysis, user pain points, SEO/ASO keywords, naming/domain availability, and TAM/SAM/SOM sizing. Use when user says "resea...
skill openclawclawhub Free
Deep market research — competitor analysis, user pain points, SEO/ASO keywords, naming/domain availability, and TAM/SAM/SOM sizing. Use when user says "resea...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/domain-check.md, references/research-template.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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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
- 1.7.1
Provenance
- Publisher
- fortunto2
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
/research
Deep research before PRD generation. Produces a structured research.md with competitive analysis, user pain points, SEO/ASO keywords, naming/domain options, and market sizing.
MCP Tools (use if available)
If MCP tools are available, prefer them over CLI: kb_search(query, n_results) — search knowledge base for related docs web_search(query, engines, include_raw_content) — web search with engine routing session_search(query, project) — find how similar research was done before project_info(name) — check project details and stacks codegraph_explain(project) — architecture overview of an existing project (stack, patterns, deps) codegraph_query(query) — raw Cypher queries against code graph (find shared packages, dependencies) project_code_search(query, project) — semantic search over project source code MCP web_search supports engine override: engines="reddit", engines="youtube", etc. If MCP tools are not available, use WebSearch/WebFetch as primary. If MCP web_search tool is available, use it for better results.
Reddit Search Best Practices
Max 3 keywords in reddit queries — more keywords = fewer results Good: "product hunt outreach launch" — Bad: "product hunt scraper maker profiles linkedin outreach launch strategy" include_raw_content=true rarely works for Reddit — use fallback chain below
Reddit Content Access — Fallback Chain
When a search finds a relevant Reddit post, reading its full content requires a fallback chain: 1. MCP Playwright (old.reddit.com) ← BEST: bypasses CAPTCHA, full post + comments 2. PullPush API (api.pullpush.io) ← search by query/subreddit/author/score/date 3. MCP web_search include_raw_content ← sometimes works, often truncated 4. WebFetch / WebSearch snippets ← last resort, partial data only Method 1: MCP Playwright (recommended for full post content) Use browser_navigate("https://old.reddit.com/r/...") — old.reddit.com loads without CAPTCHA www.reddit.com shows CAPTCHA ("Prove your humanity"), always use old.reddit.com Snapshot contains full post text + comments in structured YAML Example: old.reddit.com/r/indiehackers/comments/abc123/post_title/ Method 2: PullPush API (for search/discovery) Endpoint: https://api.pullpush.io/reddit/submission/search Params: q, subreddit, author, score (e.g. >10,<100), since/until (unix timestamps), size (max 100) Rate limits: soft 15 req/min, hard 30 req/min, 1000 req/hr. Sleep 4 sec between requests. Returns JSON with full selftext, author, score, created_utc Comment search: /reddit/comment/search (same params) Can use via curl: curl -s "https://api.pullpush.io/reddit/submission/search?q=product+hunt+launch&subreddit=indiehackers&size=10" Method 3: Reddit .json endpoint (often blocked) Append .json to any Reddit URL: reddit.com/r/sub/comments/id.json Returns raw JSON with full post + comments Frequently blocked (403/429) — use as opportunistic fallback only Method 4: PRAW (Reddit Official API, for live search/user profiles) praw-dev/praw — Python Reddit API Wrapper OAuth2 auth, built-in rate limiting, sync/async support Best for: live subreddit search, user profiles, comment trees pip install praw / uv add praw
Search Strategy: Hybrid (MCP + WebSearch)
Use multiple search backends together. Each has strengths: StepBest backendWhyCompetitorsWebSearch + site:producthunt.com + site:g2.comBroad discovery + Product Hunt + B2B reviewsReddit / Pain pointsMCP web_search with engines: reddit (max 3 keywords!) + MCP Playwright for full postsPullPush API, selftext in contentYouTube reviewsMCP web_search with engines: youtubeVideo reviews (views = demand)Market sizeWebSearchSynthesizes numbers from 10 sourcesSEO / ASOWebSearchBroader coverage, trend dataPage scrapingWebFetch or MCP web_search with include_raw_contentUp to 5000 chars of page contentHacker NewsWebSearch site:news.ycombinator.comHN discussions and opinionsFunding / CompaniesWebSearch site:crunchbase.comCompetitor funding, team sizeVerified revenueWebFetch trustmrr.com/startup/<slug>Stripe-verified MRR, growth, tech stack, traffic
Search Availability
Use WebSearch/WebFetch as primary. If MCP web_search tool is available, use it for better results (supports engine routing and raw content extraction).
Steps
Parse the idea from $ARGUMENTS. If empty, ask the user what idea they want to research. Detect product type — infer from the idea description: Keywords like "app", "mobile", "iPhone", "Android" → mobile (ios/android) Keywords like "website", "SaaS", "dashboard", "web app" → web Keywords like "CLI", "terminal", "command line" → cli Keywords like "API", "backend", "service" → api Keywords like "extension", "plugin", "browser" → web (extension) Default if unclear → web Only ask via AskUserQuestion if truly ambiguous (e.g., "build a todo app" could be web or mobile) This determines which research sections apply (ASO for mobile, SEO for web, etc.) Search knowledge base and past work: If MCP kb_search available: kb_search(query="<idea keywords>", n_results=5) If MCP session_search available: session_search(query="<idea keywords>") — check if this idea was researched before Otherwise: Grep for keywords in .md files Check if research.md or prd.md already exist for this idea. Check existing portfolio (if MCP codegraph tools available): codegraph_explain(project="<similar project>") — architecture overview of related projects in the portfolio project_code_search(query="<relevant pattern>", project="<sibling>") — find reusable code, patterns, infrastructure codegraph_query("MATCH (p:Project)-[:DEPENDS_ON]->(pkg:Package) WHERE pkg.name CONTAINS '<relevant tech>' RETURN p.name, pkg.name") — find projects using similar tech This helps assess: feasibility, reusable code, stack decisions, and time estimates If no MCP tools available, skip this step. Competitive analysis — use WebSearch (primary) + MCP web_search (if available): "<idea> competitors alternatives 2026" — broad discovery "<idea> app review pricing" — pricing data WebFetch or MCP include_raw_content=true: scrape competitor URLs for detailed pricing MCP engines: reddit or WebSearch: "<idea> vs" — user opinions "site:producthunt.com <idea>" — Product Hunt launches "site:g2.com <idea>" or "site:capterra.com <idea>" — B2B reviews "site:crunchbase.com <competitor>" — funding, team size "site:trustmrr.com <idea>" or WebFetch trustmrr.com/startup/<slug> — Stripe-verified MRR, growth %, tech stack, traffic (24h/7d/30d) For each competitor extract: name, URL, pricing, key features, weaknesses, verified MRR (if on TrustMRR) User pain points — use MCP web_search / WebSearch + YouTube: MCP engines: reddit or WebSearch: "<problem>" — Reddit discussions (max 3 keywords!) If Reddit post found but content not available → open via MCP Playwright: browser_navigate("https://old.reddit.com/r/...") — old.reddit.com bypasses CAPTCHA MCP engines: youtube or WebSearch: "<problem> review" — video reviews "site:news.ycombinator.com <problem>" — Hacker News opinions WebSearch: "<problem> frustrating OR annoying" — broader sweep Synthesis: top 5 pain points with quotes and source URLs SEO / ASO analysis (depends on product type from step 2): For web apps: "<competitor> SEO keywords ranking" — competitor keywords "<problem domain> search volume trends 2026" — demand signals WebFetch or MCP include_raw_content: scrape competitor pages for meta tags Result: keyword table (keyword, intent, competition, relevance) For mobile apps: "<category> App Store top apps keywords 2026" — category landscape "site:reddit.com <competitor app> review" — user complaints Result: ASO keywords, competitor ratings, common complaints Naming, domains, and company registration: Generate 7-10 name candidates (mix of descriptive + invented/brandable) Domain availability: triple verification (whois → dig → RDAP) Trademark + company name conflict checks See references/domain-check.md (bundled with this skill) for TLD priority tiers, bash scripts, gotchas, and trademark check methods. Market sizing (TAM/SAM/SOM) — use WebSearch (primary): WebSearch: "<market> market size 2025 2026 report" — synthesizes numbers WebSearch: "<market> growth rate CAGR billion" — growth projections Extrapolation: TAM → SAM → SOM (Year 1) Write research.md — write to docs/research.md in the current project directory. Create the directory if needed. Output summary: Key findings (3-5 bullets) Recommendation: GO / NO-GO / PIVOT with brief reasoning Path to generated research.md Suggested next step: /validate <idea>
research.md Format
See references/research-template.md (bundled with this skill) for the full output template (frontmatter, 6 sections, tables).
Notes
Always use kebab-case for project directory names If research.md already exists, ask before overwriting Run search queries in parallel when independent
MCP web_search not available
Cause: MCP server not running or not configured. Fix: Use WebSearch/WebFetch as primary. For better results with engine routing (Reddit, GitHub, YouTube), set up SearXNG (private, self-hosted, free) and configure solograph MCP.
Domain check returns wrong results
Cause: .app/.dev whois shows TLD creation date for unregistered domains. Fix: Use the triple verification method (whois -> dig -> RDAP). Check Name Server and Registrar fields, not creation date.
research.md already exists
Cause: Previous research run for this idea. Fix: Skill asks before overwriting. Choose to merge new findings or start fresh.
Reddit Deep Dive
MCP web_search or WebSearch — use for discovery (max 3 keywords for Reddit), get post URLs MCP Playwright — open old.reddit.com URLs to read full post + comments (bypasses CAPTCHA) Extract quotes — copy key phrases with attribution (u/username, subreddit, date) Cross-post detection — same post in multiple subreddits = higher signal
Product Hunt Research
producthunt.com/visit-streaks — streak leaderboard (scrapeable via Playwright) producthunt.com/@username — profile with social links, maker history, points PH API v2 is broken — redacts usernames/Twitter since Feb 2023, use scraping Apify actors — check for DEPRECATED status before relying on them (mass deprecation Sep 2025)
TrustMRR Revenue Validation
trustmrr.com/startup/<slug> — Stripe-verified MRR, growth %, subscriptions, traffic WebFetch works — no auth needed, returns full page with JSON-LD structured data Data fields: MRR, all-time revenue, last 30 days, active subs, tech stack, traffic (24h/7d/30d), category, founder X handle Use for: competitor revenue validation, market sizing with real data, tech stack discovery Search: "site:trustmrr.com <category or idea>" to find similar startups with verified revenue Apify scrapers: TrustMRR Scraper for bulk extraction
GitHub Library Discovery
MCP engines: github — often returns empty, use WebSearch as primary github.com/topics/<keyword> — browse topic pages via Playwright or WebFetch Check stars, last update, open issues — avoid abandoned repos
Blocked Content Fallback Chain
MCP Playwright (best) → PullPush API (Reddit) → WebFetch → WebSearch snippets → MCP web_search include_raw_content If a page returns 403/CAPTCHA via WebFetch: Reddit: MCP Playwright → old.reddit.com (always works, no CAPTCHA) Reddit search: PullPush API api.pullpush.io (structured JSON, full selftext) Product Hunt / other sites: MCP Playwright browser_navigate (no captcha on most sites) General: WebSearch snippets + WebSearch synthesis
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
3 Docs
- SKILL.md
- references/domain-check.md
- references/research-template.md