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Add community-skill-radar: scan Reddit for skill ideas every 3 days (#26)
Searches 5 subreddits (openclaw, LocalLLaMA, ClaudeAI, MachineLearning, AIAgents) via Reddit's public JSON API. Scores candidates by upvotes, comments, recurrence, and keyword density. Writes prioritized PROPOSALS.md for review. Cron: every 3 days at 9am. Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
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‎skills/openclaw-native/community-skill-radar/SKILL.md‎

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---
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name: community-skill-radar
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version: "1.0"
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category: openclaw-native
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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.
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stateful: true
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cron: "0 9 */3 * *"
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---
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# Community Skill Radar
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## What it does
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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.
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You review the proposals. You decide what to build. The radar just makes sure you never miss a signal.
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## When to invoke
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- Automatically, every 3 days (cron)
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- Manually when you want a fresh pulse-check on community needs
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- Before planning a new batch of skills
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## Subreddits searched
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| Subreddit | Why |
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|---|---|
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| `openclaw` | Primary OpenClaw community |
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| `LocalLLaMA` | Local AI users — many run OpenClaw |
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| `ClaudeAI` | Claude ecosystem — overlaps with OpenClaw users |
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| `MachineLearning` | Broader AI practitioners |
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| `AIAgents` | Agent-specific discussions |
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Custom subreddits can be configured via `--subreddits`.
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## Signal scoring
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Each candidate is scored on 5 dimensions:
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| Signal | Weight | Source |
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|---|---|---|
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| Upvotes | 2x | Post/comment score |
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| Comment depth | 1.5x | Number of replies — more discussion = stronger signal |
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| Recurrence | 3x | Same pain point appearing across multiple posts |
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| Keyword density | 1x | Concentration of problem/request keywords |
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| Recency | 1.5x | Newer posts score higher (7-day decay) |
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## How to use
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```bash
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python3 radar.py --scan # Full scan, write PROPOSALS.md
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python3 radar.py --scan --lookback 7 # Scan last 7 days (default: 3)
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python3 radar.py --scan --subreddits openclaw,LocalLLaMA
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python3 radar.py --scan --min-score 5.0 # Only proposals scoring ≥5.0
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python3 radar.py --status # Last scan summary from state
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python3 radar.py --history # Show past scan results
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python3 radar.py --format json # Machine-readable output
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```
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## Cron wakeup behaviour
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Every 3 days at 9am:
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1. Fetch recent posts from each configured subreddit via Reddit's public JSON API (no auth required)
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2. Filter for posts/comments containing OpenClaw-related keywords
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3. Extract pain points and feature request signals
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4. Score each candidate
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5. Deduplicate against previously seen proposals (stored in state)
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6. Write `PROPOSALS.md` to the repo root
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7. Print summary to stdout
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## PROPOSALS.md format
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```markdown
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# Skill Proposals — Community Radar
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*Last scanned: 2026-03-16 09:00 | 5 subreddits | 14 candidates*
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## High Signal (score ≥ 8.0)
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### 1. Skill auto-update mechanism (score: 12.4)
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- **Source:** r/openclaw — "Anyone else manually pulling skill updates?"
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- **Signal:** 47 upvotes, 23 comments, seen 3 times across 2 subreddits
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- **Pain point:** No way to update installed skills without manual git pull
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- **Potential skill:** `skill-auto-updater` — checks upstream repos for new versions
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### 2. Context window usage dashboard (score: 9.1)
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- **Source:** r/LocalLLaMA — "My openclaw agent keeps losing context mid-task"
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- **Signal:** 31 upvotes, 18 comments
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- **Pain point:** No visibility into how much context each skill consumes
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- **Potential skill:** `context-usage-dashboard` — real-time token budget display
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## Medium Signal (score 4.0–8.0)
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...
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## Previously Seen (already in state — not re-proposed)
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...
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```
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## Procedure
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**Step 1 — Let the cron run (or trigger manually)**
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```bash
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python3 radar.py --scan
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```
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**Step 2 — Review PROPOSALS.md**
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Open `PROPOSALS.md` in the repo root. High-signal proposals are the ones the community is loudest about.
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**Step 3 — Act on proposals you want to build**
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For each proposal you decide to build, either:
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- Ask your agent to create it: `"Build a skill for <pain point> using create-skill"`
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- Open a GitHub issue for the community
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**Step 4 — Mark proposals as actioned**
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```bash
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python3 radar.py --mark-actioned "skill-auto-updater"
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```
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This moves the proposal to the "actioned" list in state so it won't be re-proposed on future scans.
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## State
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Scan results, seen proposals, and actioned items stored in `~/.openclaw/skill-state/community-skill-radar/state.yaml`.
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Fields: `last_scan_at`, `subreddits`, `proposals` list, `actioned` list, `scan_history`.
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## Notes
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- 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.
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- Does not post, comment, or interact with Reddit in any way — read-only scanning.
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- `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"
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description: Community radar scan results, proposal ledger, and actioned tracking.
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fields:
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last_scan_at:
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type: datetime
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subreddits:
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type: list
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description: Subreddits included in the last scan
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items:
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type: string
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proposals:
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type: list
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description: All proposals from the most recent scan (newest first)
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items:
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id: { type: string, description: "slug derived from title" }
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title: { type: string }
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pain_point: { type: string }
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potential_skill: { type: string }
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score: { type: float }
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sources:
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type: list
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items:
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subreddit: { type: string }
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post_title: { type: string }
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url: { type: string }
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upvotes: { type: integer }
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comments: { type: integer }
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fetched_at: { type: datetime }
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first_seen_at: { type: datetime }
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times_seen: { type: integer }
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actioned:
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type: list
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description: Proposal IDs that have been acted on (built, filed as issues)
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items:
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id: { type: string }
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actioned_at: { type: datetime }
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action: { type: string, description: "built, issue-filed, rejected" }
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scan_history:
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type: list
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description: Rolling log of past scans (last 20)
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items:
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scanned_at: { type: datetime }
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subreddits: { type: integer }
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posts_fetched: { type: integer }
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candidates_found: { type: integer }
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proposals_written: { type: integer }

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

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

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