← ClaudeAtlas

research-scoutlisted

Find new or contradictory external signals (web search, Reddit, Hacker News, Quora) and stage only validated learnings in memory/long-term-memory.md. Use when the user asks for new research, fresh strategies/tools announcements, or contradiction checks against existing docs.
talgacapri/pm-os · ★ 0 · AI & Automation · score 63
Install: claude install-skill talgacapri/pm-os
# Research Scout Find new information that challenges or extends current project knowledge. ## Scope This skill does one job: 1. Gather fresh signals from web search, Reddit, Hacker News, and Quora. 2. Cross-check against local docs so only novel or contradictory items survive. 3. Stage validated findings in `memory/long-term-memory.md` under `## new_learnings`. ## Commands ```bash /research-scout run /research-scout weekly-review /research-scout status ``` - `run`: Execute the scout pipeline and append validated findings. - `weekly-review`: Promote confirmed patterns and clear staging. - `status`: Read current staged learnings and promoted patterns. ## Execution Rules 1. Use these source classes every run: - Web search (Google News RSS or equivalent search feed) - Reddit (search RSS) - Hacker News (Algolia API) - Quora (search constrained to quora.com) 2. Keep only findings that are either: - **New**: not already represented in local docs - **Contradictory**: challenge an existing assumption or prior guidance 3. Discard duplicates and low-signal items. 4. Each accepted finding must include: - Timestamp (UTC ISO) - Source URL - One-line note on what changed or was added ## Storage Contract Write staged findings to: - `memory/long-term-memory.md` → `## new_learnings` Entry format: ```markdown - [ ] 2026-04-25T18:00:00Z | source: https://example.com | note: Adds a new workflow for AI eval gating before rollout. ``` ## Weekly Promotion Co