Initial commit: coin-hunter skill

references/search-workflow.md

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+# Search Workflow
+
+Use this workflow when the user wants you to proactively discover meme-coin / 妖币 candidates instead of analyzing a known ticker.
+
+## Goal
+
+Produce a shortlist with enough evidence to answer:
+- what deserves attention now
+- what is merely noisy
+- what should be avoided
+
+## Default search strategy
+
+Unless the user specifies otherwise, search for **liquid speculative candidates** first and avoid ultra-microcaps.
+
+Run search in this order:
+
+1. **Theme scan**
+   - Search current meme-coin themes by chain or narrative
+   - Examples:
+     - `Solana meme coins trending`
+     - `Base meme coin watchlist`
+     - `AI meme coin trending`
+     - `new meme coin listed today`
+
+2. **Candidate extraction**
+   - Pull out repeated names that appear across multiple sources
+   - Prefer coins that appear in both market-oriented and community-oriented sources
+
+3. **Candidate verification**
+   - For each candidate, search:
+     - `<coin> market cap liquidity`
+     - `<coin> holders tokenomics`
+     - `<coin> rug risk`
+     - `<coin> listed on exchange`
+
+4. **Cross-check timing**
+   - Search whether the coin is already broadly saturated:
+     - `<coin> trending X`
+     - `<coin> breakout volume`
+     - `<coin> price surge`
+   - If it is already universally discussed, consider classifying it as late rather than early
+
+## Source preference
+
+Prefer a mix of:
+- credible exchange announcements or listing pages
+- market data summaries
+- crypto news aggregation
+- community/trading discussion summaries
+
+Do not rely entirely on project websites or obvious promotion pages.
+
+## Discovery rules
+
+### Good candidate signs during search
+- name appears repeatedly across different sources
+- tied to a live narrative or active chain
+- discussion suggests recent acceleration, not just old fame
+- accessible enough that the user can realistically trade it
+
+### Weak candidate signs during search
+- only appears in promotional pages
+- only appears on tiny venues
+- no independent discussion or market data context
+- most results are already about an explosive move that happened days ago
+
+## Shortlist size
+
+Default to **3-5 candidates**.
+
+If the search returns many names:
+- keep the most repeated
+- keep the ones with the clearest narrative
+- remove obviously illiquid or scammy names first
+
+## Output shape for discovery mode
+
+For each shortlisted candidate include:
+- ticker / name
+- chain / venue context if known
+- why it entered the shortlist
+- biggest risk
+- tentative bucket: candidate runner / watch-only / avoid
+
+Then give a final rank order.
+
+## Notes
+
+When evidence is weak, say so. Discovery mode is for narrowing attention, not pretending certainty.