animation-reverse-engi…
Reverse-engineer any motion reference (a video from X/Twitter, Dribbble, a screen recording, a GIF) into production animation…
Crypto Twitter intelligence and alpha research. Search X/Twitter for real-time crypto narratives, trending tokens, yield strategies, smart money signals, and protocol research. Features TweetRank (PageRank-inspired credibility scoring), multi-signal token detection, coordinated
Claude Code
$ npx -y skills add sendaifun/skills --skill ct-alpha --agent claude-code
Codex
$ npx skills add sendaifun/skills --skill ct-alpha -a codex -y
Cursor
$ npx skills add sendaifun/skills --skill ct-alpha -a cursor -y
Gemini CLI
$ npx skills add sendaifun/skills --skill ct-alpha -a gemini-cli -y
GitHub Copilot
$ npx skills add sendaifun/skills --skill ct-alpha -a github-copilot -y
OpenCode
$ npx skills add sendaifun/skills --skill ct-alpha -a opencode -y
Windsurf
$ npx skills add sendaifun/skills --skill ct-alpha -a windsurf -y
name: ct-alpha description: > Crypto Twitter intelligence and alpha research. Search X/Twitter for real-time crypto narratives, trending tokens, yield strategies, smart money signals, and protocol research. Features TweetRank (PageRank-inspired credibility scoring), multi-signal token detection, coordinated raid detection, and dynamic tool discovery for execution suggestions. Solana-first but covers all major chains. creator: yashhsm version: "1.0.0" tags: [crypto-twitter, alpha, research, trending, tweetrank, solana, defi, sentiment, x-api, trading] metadata: author: yashhsm runtime: bun api: X API v2 (pay-per-use)
Turn X/Twitter into an actionable crypto intelligence layer. Search CT for narratives, alpha, strategies, and sentiment, then rank results using TweetRank (a PageRank-inspired credibility scoring system), extract tokens/CAs from multiple signals, detect coordinated raids, and suggest execution steps using available tools.
# Clone the skill git clone https://github.com/yashhsm/skills.git cd skills/skills/ct-alpha # Run the installer (configures token, watchlist, cache) bun run install.ts
# Set your X API Bearer Token export X_BEARER_TOKEN="your_token_here" # Or save to persistent env file mkdir -p ~/.config/env echo 'export X_BEARER_TOKEN="your_token_here"' >> ~/.config/env/global.env source ~/.config/env/global.env
# Search for alpha on a token bun run ct-search.ts search "$SOL alpha" --quick # Detect trending tokens bun run ct-search.ts trending --window 6h --solana-only # Monitor watchlist accounts bun run ct-search.ts watchlist --since 24h # Read a specific tweet or article bun run ct-search.ts read https://x.com/user/status/123456 # Check API spending bun run ct-search.ts cost
bun run ct-search.ts search "<query>" [flags]
| Flag | Description | Default | |------|-------------|---------| | `--quick` | 20 tweets, 1hr cache, ~$0.10 | **Default mode** | | `--full` | Up to 100 tweets, 15min cache, ~$0.50 | Confirm cost first | | `--limit N` | Max total tweets | 20 (quick), 100 (full) | | `--sort <field>` | `likes`, `recency`, `relevancy` | `relevancy` | | `--since <duration>` | `1h`, `6h`, `24h`, `7d` | `24h` | | `--min-likes N` | Engagement filter | 3 (quick) | | `--from user1,user2` | Restrict to specific accounts | — | | `--extract-tickers` | Show extracted tickers | — | | `--extract-cas` | Show contract addresses and crypto URLs | — | | `--raw` | JSON output | — |
bun run ct-search.ts trending [flags]
| Flag | Description | Default | |------|-------------|---------| | `--window <duration>` | `1h`, `6h`, `24h` | `6h` | | `--min-mentions N` | Minimum mention count | 3 | | `--solana-only` | Solana ecosystem only | — | | `--top N` | Top N results | 20 |
bun run ct-search.ts watchlist [flags]
| Flag | Description | Default | |------|-------------|---------| | `--category <cat>` | Filter by category | all | | `--since <duration>` | Time window | `24h` |
bun run ct-search.ts read <tweet_url_or_id> [--thread] [--raw]
Accepts x.com URLs, twitter.com URLs, or raw tweet IDs. Articles (long-form posts) are fetched in full.
bun run ct-search.ts thread <tweet_id>
bun run ct-search.ts cost [--reset]
Every tweet is scored by three factors multiplied together:
1. **AuthorCred (0-10)**: Watchlist membership (+5), follower/following ratio (capped +5), verification (+1), account age (log scale, capped +2), bot penalty (-3) 2. **EngagementQuality**: Bookmarks (×3, unfakeable) > Quotes (×2.5, high effort) > Likes (×1.5) > Retweets (×1, easily botted). All log-scaled. 3. **RecencyBoost**: `1 / (1 + hoursAgo / 24)` — newer tweets score higher.
TweetRank = AuthorCred × EngagementQuality × RecencyBoost
Each tweet receives a source label:
Cashtag-only detection misses how tokens actually spread on CT. This extracts from four signal types:
| Signal | Example | Confidence | |--------|---------|------------| | **Cashtag** | `$SOL`, `$JTO` | High | | **Name-phrase** | "pendle" + crypto context | High/Medium | | **Crypto URL** | pump.fun, dexscreener, birdeye, jup.ag | High | | **Contract Address** | Base58 (Solana) / 0x (Ethereum) with context | High/Low |
Supported crypto URL domains: pump.fun, dexscreener.com, birdeye.so, jup
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