Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Pain Point Finder
Discover pain points, frustrations, and unmet needs on Reddit using PullPush API. No API keys required. Use to find startup ideas backed by real user complai...
skill openclawclawhub Free
Discover pain points, frustrations, and unmet needs on Reddit using PullPush API. No API keys required. Use to find startup ideas backed by real user complai...
โฌ 0 downloads โ
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
- _meta.json, SKILL.md, package.json, docs/pain_point_discovery.md, scripts/pain-points.mjs, .clawhub/origin.json
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
- yanji84
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Pain Point Finder
Discover validated pain points on Reddit. Searches for frustrations, complaints, and unmet needs, then analyzes comment threads for agreement signals and failed solutions. Powered by PullPush API โ no API keys needed.
Workflow
Follow these 4 phases in order. Each phase builds on the previous.
Phase 1: Discover Subreddits
Find the right subreddits for the user's domain. node {baseDir}/scripts/pain-points.mjs discover --domain "<user's domain>" --limit 8 Example: node {baseDir}/scripts/pain-points.mjs discover --domain "project management" --limit 8 Take the top 3-5 subreddits from the output for phase 2.
Phase 2: Scan for Pain Points
Broad search across discovered subreddits. node {baseDir}/scripts/pain-points.mjs scan \ --subreddits "<sub1>,<sub2>,<sub3>" \ --domain "<domain>" \ --days 90 \ --limit 20 Example: node {baseDir}/scripts/pain-points.mjs scan \ --subreddits "projectmanagement,SaaS,smallbusiness" \ --domain "project management" \ --days 90 \ --limit 20 Review the scored posts. Posts with high painScore and high num_comments are the best candidates for deep analysis.
Phase 3: Deep-Dive Analysis
Analyze comment threads of top posts for agreement and solution signals. Single post: node {baseDir}/scripts/pain-points.mjs deep-dive --post <post_id> Top N from scan output: node {baseDir}/scripts/pain-points.mjs deep-dive --from-scan <scan_output.json> --top 5 Look at the validationStrength field: strong: widespread, validated pain (agreementRatio > 0.20, 10+ agreements) moderate: notable pain with some validation weak: some signal but limited agreement anecdotal: one person's complaint, needs more evidence
Phase 4: Synthesis (you do this)
For each validated pain point, present a structured proposal: Problem: One-sentence description of the pain Evidence: Top quotes + agreement count + subreddit Who feels this: Type of person/business affected Current solutions & gaps: What people have tried (from solutionAttempts) and why it fails Competitive landscape: Tools mentioned (from mentionedTools) Opportunity: What's missing in current solutions Idea sketch: Brief product/service concept Validation: strong/moderate/weak + data backing it
discover
FlagDefaultDescription--domainrequiredDomain to explore--limit10Max subreddits to return
scan
FlagDefaultDescription--subredditsrequiredComma-separated subreddit list--domainDomain for extra search queries--days365How far back to search--minScore1Min post score filter--minComments3Min comment count filter--limit30Max posts to return--pages2Pages per query (more = deeper, slower)
deep-dive
FlagDefaultDescription--postSingle post ID or Reddit URL--from-scanPath to scan output JSON--stdinRead scan JSON from stdin--top10How many posts to analyze from scan--maxComments200Max comments to fetch per post
Rate Limits
The script self-limits to 1 request/sec, 30/min, 300/run. If PullPush is slow or returns errors, it retries with exponential backoff. Progress is logged to stderr.
Tips
Start broad with --days 90 then narrow to --days 30 for recent trends High num_comments + high score = validated pain (many people agree) High painScore + low num_comments = niche pain (worth investigating) The mentionedTools in deep-dive output maps the competitive landscape Posts with validationStrength: "strong" are the best startup candidates
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 Config2 Docs1 Scripts
- SKILL.md
- docs/pain_point_discovery.md
- scripts/pain-points.mjs
- _meta.json
- .clawhub/origin.json
- package.json