Add community-skill-radar: scan Reddit for skill ideas every 3 days

skills/openclaw-native/community-skill-radar/SKILL.md

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+---
+name: community-skill-radar
+version: "1.0"
+category: openclaw-native
+description: Searches Reddit communities for OpenClaw pain points and feature requests, scores them by signal strength, and writes a prioritized PROPOSALS.md for you to review and act on.
+stateful: true
+cron: "0 9 */3 * *"
+---
+
+# 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
+
+| Subreddit | Why |
+|---|---|
+| `openclaw` | Primary OpenClaw community |
+| `LocalLLaMA` | Local AI users — many run OpenClaw |
+| `ClaudeAI` | Claude ecosystem — overlaps with OpenClaw users |
+| `MachineLearning` | Broader AI practitioners |
+| `AIAgents` | Agent-specific discussions |
+
+Custom subreddits can be configured via `--subreddits`.
+
+## Signal scoring
+
+Each candidate is scored on 5 dimensions:
+
+| Signal | Weight | Source |
+|---|---|---|
+| Upvotes | 2x | Post/comment score |
+| Comment depth | 1.5x | Number of replies — more discussion = stronger signal |
+| Recurrence | 3x | Same pain point appearing across multiple posts |
+| Keyword density | 1x | Concentration of problem/request keywords |
+| Recency | 1.5x | Newer posts score higher (7-day decay) |
+
+## How to use
+
+```bash
+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
+
+```markdown
+# 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)**
+
+```bash
+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**
+
+```bash
+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.

skills/openclaw-native/community-skill-radar/STATE_SCHEMA.yaml

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+version: "1.0"
+description: Community radar scan results, proposal ledger, and actioned tracking.
+fields:
+  last_scan_at:
+    type: datetime
+  subreddits:
+    type: list
+    description: Subreddits included in the last scan
+    items:
+      type: string
+  proposals:
+    type: list
+    description: All proposals from the most recent scan (newest first)
+    items:
+      id:           { type: string, description: "slug derived from title" }
+      title:        { type: string }
+      pain_point:   { type: string }
+      potential_skill: { type: string }
+      score:        { type: float }
+      sources:
+        type: list
+        items:
+          subreddit:  { type: string }
+          post_title: { type: string }
+          url:        { type: string }
+          upvotes:    { type: integer }
+          comments:   { type: integer }
+          fetched_at: { type: datetime }
+      first_seen_at: { type: datetime }
+      times_seen:    { type: integer }
+  actioned:
+    type: list
+    description: Proposal IDs that have been acted on (built, filed as issues)
+    items:
+      id:          { type: string }
+      actioned_at: { type: datetime }
+      action:      { type: string, description: "built, issue-filed, rejected" }
+  scan_history:
+    type: list
+    description: Rolling log of past scans (last 20)
+    items:
+      scanned_at:       { type: datetime }
+      subreddits:       { type: integer }
+      posts_fetched:    { type: integer }
+      candidates_found: { type: integer }
+      proposals_written: { type: integer }

skills/openclaw-native/community-skill-radar/example-state.yaml

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+# Example runtime state for community-skill-radar
+last_scan_at: "2026-03-16T09:00:22.441000"
+subreddits:
+  - openclaw
+  - LocalLLaMA
+  - ClaudeAI
+  - MachineLearning
+  - AIAgents
+proposals:
+  - id: skill-auto-update-mechanism
+    title: "Anyone else manually pulling skill updates every time?"
+    pain_point: "No way to update installed skills without manual git pull"
+    potential_skill: skill-auto-updater
+    category: integration
+    score: 12.4
+    sources:
+      - subreddit: openclaw
+        post_title: "Anyone else manually pulling skill updates every time?"
+        url: "https://reddit.com/r/openclaw/comments/abc123/..."
+        upvotes: 47
+        comments: 23
+        score: 8.2
+        fetched_at: "2026-03-16T09:00:20.000000"
+      - subreddit: LocalLLaMA
+        post_title: "OpenClaw skills need an update mechanism"
+        url: "https://reddit.com/r/LocalLLaMA/comments/def456/..."
+        upvotes: 18
+        comments: 9
+        score: 4.2
+        fetched_at: "2026-03-16T09:00:21.000000"
+    first_seen_at: "2026-03-13T09:00:00.000000"
+    times_seen: 3
+  - id: context-window-usage-dashboard
+    title: "My openclaw agent keeps losing context mid-task"
+    pain_point: "No visibility into how much context each skill consumes"
+    potential_skill: context-usage-dashboard
+    category: context
+    score: 9.1
+    sources:
+      - subreddit: LocalLLaMA
+        post_title: "My openclaw agent keeps losing context mid-task"
+        url: "https://reddit.com/r/LocalLLaMA/comments/ghi789/..."
+        upvotes: 31
+        comments: 18
+        score: 9.1
+        fetched_at: "2026-03-16T09:00:22.000000"
+    first_seen_at: "2026-03-16T09:00:22.000000"
+    times_seen: 1
+actioned:
+  - id: skill-load-failure-detection
+    actioned_at: "2026-03-15T10:00:00.000000"
+    action: built
+scan_history:
+  - scanned_at: "2026-03-16T09:00:22.000000"
+    subreddits: 5
+    posts_fetched: 142
+    candidates_found: 8
+    proposals_written: 8
+  - scanned_at: "2026-03-13T09:00:00.000000"
+    subreddits: 5
+    posts_fetched: 118
+    candidates_found: 5
+    proposals_written: 5
+# ── Walkthrough ──────────────────────────────────────────────────────────────
+# Every 3 days cron runs:  python3 radar.py --scan
+#
+#   Community Skill Radar — scanning 5 subreddits (last 3 days)
+#   ──────────────────────────────────────────────────────────────
+#     Fetching r/openclaw... 28 posts
+#     Fetching r/LocalLLaMA... 42 posts
+#     Fetching r/ClaudeAI... 35 posts
+#     Fetching r/MachineLearning... 22 posts
+#     Fetching r/AIAgents... 15 posts
+#
+#     Posts fetched   : 142
+#     Candidates found: 8
+#     High signal     : 2
+#     Medium signal   : 4
+#     Low signal      : 2
+#
+#     Written to: ~/.openclaw/extensions/superpowers/PROPOSALS.md
+#
+# python3 radar.py --mark-actioned skill-auto-update-mechanism --action built
+#   ✓ Marked 'skill-auto-update-mechanism' as built. Won't be re-proposed.