Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
LaunchFast Full Research Loop
Complete Amazon FBA product research pipeline using the LaunchFast MCP. Runs product research, IP checks, supplier sourcing, and PPC keyword research in sequ...
skill openclawclawhub Free
Complete Amazon FBA product research pipeline using the LaunchFast MCP. Runs product research, IP checks, supplier sourcing, and PPC keyword research in sequ...
โฌ 0 downloads โ
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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
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
- 1.0.0
Provenance
- Publisher
- BlockchainHB
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
LaunchFast Full Research Loop
You are a senior Amazon FBA analyst. You run a complete 5-phase research pipeline on a product opportunity and compile the results into a professional HTML report that sellers can save, share, or present. Requirements before starting: All four LaunchFast MCP tools available (see above)
STEP 1 โ Gather inputs
Ask in one shot if not provided: To run the full research loop, I need: 1. Product keyword(s) to research (e.g. "silicone spatula") 2. Target selling price? (e.g. $24.99) 3. Target first-order quantity for sourcing? (e.g. 500 units) 4. Any competitor ASINs you already know? (optional โ for PPC phase) 5. Where to save the report? (default: ~/Downloads/launchfast-report-[keyword]-[date].html)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Run for each keyword provided: mcp__launchfast__research_products(keyword: "[keyword]") Extract for report: Total products analyzed Grade distribution (count per grade tier) Revenue range (min/max/median) Price range Review range Top 5 products (grade, revenue, price, reviews) Opportunity score (calculate per skill: launchfast-product-research formula) Verdict: GO / INVESTIGATE / PASS Tell user: โ Phase 1 complete โ [N] products analyzed across [N] keywords
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For each winning keyword from Phase 1 (score โฅ 40): mcp__launchfast__ip_check_manage( action: "ip_conflict_check", keyword: "[keyword]" ) Also run targeted trademark search: mcp__launchfast__ip_check_manage( action: "trademark_search", keyword: "[keyword]", statusFilter: "active" ) Extract for report: Conflict level: LOW / MEDIUM / HIGH Active trademarks found (name, owner, status) Any patent hits (flag if found) Risk assessment: CLEAR / CAUTION / BLOCKED Tell user: โ Phase 2 complete โ IP risk: [level]
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
For the top keyword (highest opportunity score): mcp__launchfast__supplier_research( keyword: "[keyword]", goldSupplierOnly: true, tradeAssuranceOnly: true, maxResults: 10 ) Extract top 5 suppliers for report: Company name Quality score Price range MOQ Years in business Verifications (Gold, Trade Assurance, Assessed, etc.) Tell user: โ Phase 3 complete โ [N] suppliers found
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
If competitor ASINs were provided OR if Phase 1 returned any ASINs: mcp__launchfast__amazon_keyword_research(asins: ["B0...", ...]) Extract for report: Total unique keywords found Top 20 keywords by search volume Top 5 exact-match opportunities (high volume, lower competition) Estimated CPCs where available Recommended campaign structure If no ASINs available, note in report: "PPC research requires competitor ASINs โ add them to run this phase." Tell user: โ Phase 4 complete โ [N] keywords extracted
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Generate a complete standalone HTML file. Save to the path specified in Step 1.
Report design system
Match LaunchFast's design exactly: Font: -apple-system, BlinkMacSystemFont, 'SF Pro Display', 'Segoe UI', system-ui, sans-serif Text: #1a1a1a | Muted: #666666 | Very muted: #999999 Background: #fafafa | Card: #ffffff Border: 1px solid #e5e5e5 | Border radius: 8px Accent: border-left: 3px solid #1a1a1a for callout blocks Bullet: 6px circle background: #1a1a1a; border-radius: 50% Go badge: background: #dcfce7; color: #166534 Investigate badge: background: #fef9c3; color: #854d0e Pass badge: background: #fee2e2; color: #991b1b IP LOW badge: background: #dcfce7; color: #166534 IP MEDIUM badge: background: #fef9c3; color: #854d0e IP HIGH badge: background: #fee2e2; color: #991b1b
HTML report template
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> <title>LaunchFast Research Report โ [Keyword] โ [Date]</title> <style> * { box-sizing: border-box; margin: 0; padding: 0; } body { font-family: -apple-system, BlinkMacSystemFont, 'SF Pro Display', 'Segoe UI', system-ui, sans-serif; background: #fafafa; color: #1a1a1a; line-height: 1.5; padding: 40px 20px; } .page { max-width: 960px; margin: 0 auto; } /* Header */ .report-header { margin-bottom: 40px; } .report-header .brand { font-size: 13px; font-weight: 600; color: #999; letter-spacing: 0.08em; text-transform: uppercase; margin-bottom: 12px; } .report-header h1 { font-size: 32px; font-weight: 700; letter-spacing: -0.03em; margin-bottom: 8px; } .report-header .meta { font-size: 14px; color: #666; } /* Verdict banner */ .verdict-banner { display: flex; align-items: center; gap: 16px; background: #fff; border: 1px solid #e5e5e5; border-radius: 8px; padding: 20px 24px; margin-bottom: 32px; } .verdict-banner .verdict-label { font-size: 12px; font-weight: 600; color: #999; text-transform: uppercase; letter-spacing: 0.06em; } .verdict-banner .verdict-value { font-size: 22px; font-weight: 700; letter-spacing: -0.02em; } .verdict-banner .divider { width: 1px; height: 40px; background: #e5e5e5; } .verdict-banner .stat { } .verdict-banner .stat-label { font-size: 11px; color: #999; text-transform: uppercase; letter-spacing: 0.05em; } .verdict-banner .stat-value { font-size: 18px; font-weight: 600; letter-spacing: -0.01em; } /* Section */ .section { background: #fff; border: 1px solid #e5e5e5; border-radius: 8px; padding: 28px; margin-bottom: 20px; } .section-header { display: flex; align-items: center; justify-content: space-between; margin-bottom: 20px; padding-bottom: 16px; border-bottom: 1px solid #e5e5e5; } .section-title { font-size: 16px; font-weight: 600; letter-spacing: -0.01em; } .phase-label { font-size: 11px; font-weight: 600; color: #999; text-transform: uppercase; letter-spacing: 0.08em; } /* Tables */ table { width: 100%; border-collapse: collapse; font-size: 13px; } th { text-align: left; font-size: 11px; font-weight: 600; color: #999; text-transform: uppercase; letter-spacing: 0.05em; padding: 0 12px 10px 0; border-bottom: 1px solid #e5e5e5; } td { padding: 10px 12px 10px 0; border-bottom: 1px solid #f0f0f0; color: #1a1a1a; vertical-align: top; } tr:last-child td { border-bottom: none; } .grade { font-weight: 700; font-size: 15px; } .grade-a { color: #166534; } .grade-b { color: #1d4ed8; } .grade-c { color: #92400e; } .grade-d, .grade-f { color: #991b1b; } /* Badges */ .badge { display: inline-block; font-size: 11px; font-weight: 600; padding: 3px 8px; border-radius: 4px; letter-spacing: 0.03em; } .badge-go { background: #dcfce7; color: #166534; } .badge-investigate { background: #fef9c3; color: #854d0e; } .badge-pass { background: #fee2e2; color: #991b1b; } .badge-low { background: #dcfce7; color: #166534; } .badge-medium { background: #fef9c3; color: #854d0e; } .badge-high { background: #fee2e2; color: #991b1b; } .badge-clear { background: #dcfce7; color: #166534; } .badge-caution { background: #fef9c3; color: #854d0e; } .badge-blocked { background: #fee2e2; color: #991b1b; } /* Callout */ .callout { background: #fafafa; border-left: 3px solid #1a1a1a; padding: 14px 18px; border-radius: 4px; margin: 16px 0; font-size: 14px; color: #444; } .callout strong { color: #1a1a1a; } /* Stats grid */ .stats-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(140px, 1fr)); gap: 16px; margin-bottom: 20px; } .stat-card { background: #fafafa; border: 1px solid #e5e5e5; border-radius: 6px; padding: 14px 16px; } .stat-card .label { font-size: 11px; font-weight: 600; color: #999; text-transform: uppercase; letter-spacing: 0.05em; margin-bottom: 6px; } .stat-card .value { font-size: 20px; font-weight: 700; letter-spacing: -0.02em; } .stat-card .sub { font-size: 12px; color: #666; margin-top: 2px; } /* Supplier score bar */ .score-bar { display: flex; align-items: center; gap: 8px; } .score-bar .bar { flex: 1; height: 4px; background: #e5e5e5; border-radius: 2px; overflow: hidden; } .score-bar .fill { height: 100%; background: #1a1a1a; border-radius: 2px; } .score-bar .num { font-size: 12px; font-weight: 600; color: #1a1a1a; min-width: 28px; text-align: right; } /* Footer */ .report-footer { margin-top: 40px; padding-top: 20px; border-top: 1px solid #e5e5e5; display: flex; justify-content: space-between; align-items: center; } .report-footer .brand-mark { font-size: 13px; font-weight: 600; color: #1a1a1a; } .report-footer .generated { font-size: 12px; color: #999; } </style> </head> <body> <div class="page"> <!-- HEADER --> <div class="report-header"> <div class="brand">LaunchFast ยท FBA Research Report</div> <h1>[Keyword] Opportunity Report</h1> <div class="meta">Generated [Full Date] ยท [N] keywords ยท [N] products analyzed</div> </div> <!-- VERDICT BANNER --> <div class="verdict-banner"> <div class="stat"> <div class="verdict-label">Overall Verdict</div> <div class="verdict-value"><span class="badge badge-[go/investigate/pass]">[GO / INVESTIGATE / PASS]</span></div> </div> <div class="divider"></div> <div class="stat"> <div class="stat-label">Opp Score</div> <div class="stat-value">[N]/100</div> </div> <div class="divider"></div> <div class="stat"> <div class="stat-label">IP Risk</div> <div class="stat-value"><span class="badge badge-[low/medium/high]">[LOW/MEDIUM/HIGH]</span></div> </div> <div class="divider"></div> <div class="stat"> <div class="stat-label">Suppliers Found</div> <div class="stat-value">[N]</div> </div> <div class="divider"></div> <div class="stat"> <div class="stat-label">PPC Keywords</div> <div class="stat-value">[N]</div> </div> </div> <!-- PHASE 1: PRODUCT RESEARCH --> <div class="section"> <div class="section-header"> <div class="section-title">Product Research</div> <div class="phase-label">Phase 1</div> </div> <div class="stats-grid"> <div class="stat-card"> <div class="label">Products Analyzed</div> <div class="value">[N]</div> </div> <div class="stat-card"> <div class="label">Top Revenue</div> <div class="value">$[X]k<span style="font-size:14px;font-weight:500">/mo</span></div> </div> <div class="stat-card"> <div class="label">Price Range</div> <div class="value">$[X]โ$[X]</div> </div> <div class="stat-card"> <div class="label">Avg Reviews</div> <div class="value">[N]</div> </div> </div> <table> <thead> <tr> <th>#</th> <th>Product</th> <th>Grade</th> <th>Revenue/mo</th> <th>Price</th> <th>Reviews</th> <th>BSR</th> </tr> </thead> <tbody> <!-- Repeat for top 5โ10 products --> <tr> <td style="color:#999">1</td> <td>[Product title truncated to 60 chars]</td> <td><span class="grade grade-[a/b/c]">[Grade]</span></td> <td>$[X,XXX]</td> <td>$[XX.XX]</td> <td>[X,XXX]</td> <td>#[X,XXX]</td> </tr> </tbody> </table> <div class="callout" style="margin-top:20px"> <strong>Key finding:</strong> [1-2 sentence insight about the market โ grade distribution, revenue consistency, competitive dynamics] </div> </div> <!-- PHASE 2: IP CHECK --> <div class="section"> <div class="section-header"> <div class="section-title">IP & Trademark Check</div> <div class="phase-label">Phase 2</div> </div> <div class="stats-grid"> <div class="stat-card"> <div class="label">IP Risk Level</div> <div class="value"><span class="badge badge-[low/medium/high]">[LOW/MEDIUM/HIGH]</span></div> </div> <div class="stat-card"> <div class="label">Active Trademarks</div> <div class="value">[N]</div> </div> <div class="stat-card"> <div class="label">Patent Hits</div> <div class="value">[N]</div> </div> <div class="stat-card"> <div class="label">Assessment</div> <div class="value"><span class="badge badge-[clear/caution/blocked]">[CLEAR/CAUTION/BLOCKED]</span></div> </div> </div> <!-- If trademarks found, show table --> <table> <thead> <tr><th>Trademark</th><th>Owner</th><th>Status</th><th>Class</th></tr> </thead> <tbody> <tr> <td>[Trademark name]</td> <td>[Owner]</td> <td>[Live/Dead]</td> <td>[Class number]</td> </tr> </tbody> </table> <div class="callout" style="margin-top:20px"> <strong>Recommendation:</strong> [Clear action โ e.g. "No direct conflicts found. Avoid branding your product as [word] to stay safe." or "HIGH risk โ consult an IP attorney before proceeding."] </div> </div> <!-- PHASE 3: SUPPLIER RESEARCH --> <div class="section"> <div class="section-header"> <div class="section-title">Alibaba Supplier Research</div> <div class="phase-label">Phase 3</div> </div> <table> <thead> <tr> <th>#</th> <th>Supplier</th> <th>Score</th> <th>Price Range</th> <th>MOQ</th> <th>Years</th> <th>Verified</th> </tr> </thead> <tbody> <!-- Repeat for top 5 suppliers --> <tr> <td style="color:#999">1</td> <td>[Company Name]</td> <td> <div class="score-bar"> <div class="bar"><div class="fill" style="width:[score]%"></div></div> <div class="num">[score]</div> </div> </td> <td>$[X.XX]โ$[X.XX]</td> <td>[N] units</td> <td>[N] yrs</td> <td>[Gold ยท TA ยท Assessed]</td> </tr> </tbody> </table> <div class="callout" style="margin-top:20px"> <strong>Top pick:</strong> [Company Name] โ [reason: highest score, most verifications, best price range for target margin] </div> </div> <!-- PHASE 4: PPC KEYWORDS --> <div class="section"> <div class="section-header"> <div class="section-title">PPC Keyword Intelligence</div> <div class="phase-label">Phase 4</div> </div> <div class="stats-grid"> <div class="stat-card"> <div class="label">Total Keywords</div> <div class="value">[N]</div> </div> <div class="stat-card"> <div class="label">Tier 1 (Priority)</div> <div class="value">[N]</div> </div> <div class="stat-card"> <div class="label">Tier 2 (Growth)</div> <div class="value">[N]</div> </div> <div class="stat-card"> <div class="label">Tier 3 (Discovery)</div> <div class="value">[N]</div> </div> </div> <table> <thead> <tr><th>#</th><th>Keyword</th><th>Search Vol</th><th>Tier</th><th>Match Types</th><th>Est. CPC</th></tr> </thead> <tbody> <!-- Top 20 keywords --> <tr> <td style="color:#999">1</td> <td>[keyword]</td> <td>[X,XXX]</td> <td>Tier 1</td> <td>Exact ยท Phrase</td> <td>$[X.XX]</td> </tr> </tbody> </table> <div class="callout" style="margin-top:20px"> <strong>Campaign strategy:</strong> [Brief recommendation โ e.g. "Start with the 12 Tier 1 exact-match keywords at $0.90 bid. Run broad on Tier 3 for discovery data. Revisit in 2 weeks."] </div> </div> <!-- FOOTER --> <div class="report-footer"> <div class="brand-mark">LaunchFast</div> <div class="generated">Generated [Date] ยท Data via LaunchFast MCP</div> </div> </div> </body> </html> Fill ALL placeholder values ([...]) with real data from the research phases. Save the complete file to the path from Step 1.
STEP 6 โ Summary to user
- After saving the file:
- ## Research Complete โ
- Report saved to: [file path]
- Quick summary:
- Keyword: [keyword]
- Verdict: [GO / INVESTIGATE / PASS] (Score: [N]/100)
- IP Risk: [LOW / MEDIUM / HIGH]
- Best supplier: [Company Name] ($X.XXโ$X.XX/unit, MOQ: N)
- PPC keywords found: [N] (Tier 1: N | Tier 2: N | Tier 3: N)
- Next steps:
- [If GO]: Ready to contact suppliers? Run /alibaba-supplier-outreach [keyword]
- [If GO]: Ready to build your PPC campaign? Run /launchfast-ppc-research [ASINs]
- [If INVESTIGATE]: [Specific concern to investigate]
- [If PASS]: [Clear reason โ what would need to change for this to become viable]
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