Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Productivity
YC New Way
Apply Y Combinator’s “New Way to Build a Startup” playbook to ship fast, validate with real distribution, and iterate using data. Use when the user asks to f...
skill openclawclawhub Free
Apply Y Combinator’s “New Way to Build a Startup” playbook to ship fast, validate with real distribution, and iterate using data. Use when the user asks to f...
⬇ 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/experiment-brief.md, references/landing-page-checklist.md, references/seo-10-page-plan.md, references/weekly-loop.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
- 0.1.0
Provenance
- Publisher
- jack4world
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Goal
Turn an idea into a running distribution loop fast (days, not weeks), using the smallest product that can measure real demand.
0) Clarify the bet (2 minutes)
Fill this sentence: For [who] with [pain], we offer [promise] via [channel], and we’ll know it works when [metric] hits [threshold]. If missing, use references/experiment-brief.md.
1) Pick a narrow wedge
Prefer wedges that are: High intent (people already searching/buying) Clear objects (SKUs, listings, templates) Easy to prove with evidence (links, screenshots, timestamps) Output: 1 primary wedge + 1 backup wedge 3 user stories
2) Choose one distribution channel first
Pick exactly one: SEO (content library + internal links) Newsletter (weekly digest) Community (Reddit/Discord/forums) where posting is allowed Do not build more channels until one shows signal.
3) Ship the smallest MVP that measures
Default MVPs: SEO site: 10 pages (2 money pages + 8 support pages) Newsletter: 1 issue + signup + archive Tool page: 1 calculator/checklist with email capture Include: Clear CTA Analytics Evidence links (avoid “AI says”) Use references/landing-page-checklist.md and references/seo-10-page-plan.md.
4) Instrumentation & decision rules
Track only the fewest metrics: Traffic → CTA CTR → Outbound clicks → (optional) purchases Time to publish / pages per week (throughput) Define stop/iterate rules: If CTR is low → fix promise/copy If CTR is high but no conversions → fix offer/price/trust If no traffic after 7 days → distribution problem (not product) Use references/weekly-loop.md.
5) Weekly iteration loop
Every week: Double down on 1 thing that worked Kill 1 thing that didn’t Add 1 new experiment Keep a changelog; avoid rebuilding.
Output templates (use these verbatim)
Experiment brief: references/experiment-brief.md Landing page checklist: references/landing-page-checklist.md SEO 10-page plan: references/seo-10-page-plan.md Weekly loop: references/weekly-loop.md
Guardrails
Distribution before system: don’t over-automate until there’s signal. Evidence-first: recommendations must cite sources. Narrow first: one wedge, one channel, one metric. Legal/ToS: prefer public sources / allowed APIs; avoid bypassing logins or CAPTCHAs.
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Docs
- SKILL.md
- references/experiment-brief.md
- references/landing-page-checklist.md
- references/seo-10-page-plan.md
- references/weekly-loop.md