Community Skill Radar

Community Skill Radar

What it does

Your best skill ideas don't come from guessing — they come from what the community is actually struggling with. Community Skill Radar scans Reddit every 3 days for posts and comments mentioning OpenClaw pain points, feature requests, and skill gaps. It scores them by signal strength (upvotes, comment depth, recurrence) and writes a prioritized PROPOSALS.md in the repo root.

You review the proposals. You decide what to build. The radar just makes sure you never miss a signal.

When to invoke

• Automatically, every 3 days (cron)
• Manually when you want a fresh pulse-check on community needs
• Before planning a new batch of skills

Subreddits searched

Custom subreddits can be configured via --subreddits.

Signal scoring

Each candidate is scored on 5 dimensions:

How to use

python3 radar.py --scan                     # Full scan, write PROPOSALS.md
python3 radar.py --scan --lookback 7        # Scan last 7 days (default: 3)
python3 radar.py --scan --subreddits openclaw,LocalLLaMA
python3 radar.py --scan --min-score 5.0     # Only proposals scoring ≥5.0
python3 radar.py --status                   # Last scan summary from state
python3 radar.py --history                  # Show past scan results
python3 radar.py --format json              # Machine-readable output

Cron wakeup behaviour

Every 3 days at 9am:

1. Fetch recent posts from each configured subreddit via Reddit's public JSON API (no auth required)
2. Filter for posts/comments containing OpenClaw-related keywords
3. Extract pain points and feature request signals
4. Score each candidate
5. Deduplicate against previously seen proposals (stored in state)
6. Write PROPOSALS.md to the repo root
7. Print summary to stdout

PROPOSALS.md format

# Skill Proposals — Community Radar

*Last scanned: 2026-03-16 09:00 | 5 subreddits | 14 candidates*

## High Signal (score ≥ 8.0)

### 1. Skill auto-update mechanism (score: 12.4)
- **Source:** r/openclaw — "Anyone else manually pulling skill updates?"
- **Signal:** 47 upvotes, 23 comments, seen 3 times across 2 subreddits
- **Pain point:** No way to update installed skills without manual git pull
- **Potential skill:** `skill-auto-updater` — checks upstream repos for new versions

### 2. Context window usage dashboard (score: 9.1)
- **Source:** r/LocalLLaMA — "My openclaw agent keeps losing context mid-task"
- **Signal:** 31 upvotes, 18 comments
- **Pain point:** No visibility into how much context each skill consumes
- **Potential skill:** `context-usage-dashboard` — real-time token budget display

## Medium Signal (score 4.0–8.0)

...

## Previously Seen (already in state — not re-proposed)

...

Procedure

Step 1 — Let the cron run (or trigger manually)

python3 radar.py --scan

Step 2 — Review PROPOSALS.md

Open PROPOSALS.md in the repo root. High-signal proposals are the ones the community is loudest about.

Step 3 — Act on proposals you want to build

For each proposal you decide to build, either:

• Ask your agent to create it: "Build a skill for <pain point> using create-skill"
• Open a GitHub issue for the community

Step 4 — Mark proposals as actioned

python3 radar.py --mark-actioned "skill-auto-updater"

This moves the proposal to the "actioned" list in state so it won't be re-proposed on future scans.

State

Scan results, seen proposals, and actioned items stored in ~/.openclaw/skill-state/community-skill-radar/state.yaml.

Fields: last_scan_at, subreddits, proposals list, actioned list, scan_history.

Notes

• Uses Reddit's public JSON API at reddit.com/<subreddit>/search.json. No authentication required. Rate-limited to 1 request per 2 seconds to respect Reddit's guidelines.
• Does not post, comment, or interact with Reddit in any way — read-only scanning.
• PROPOSALS.md is gitignored by default (local working document). Add to .gitignore if not already present.