# aiwithremy/content-principles > A Claude skill that teaches AI to reason about short-form content from first principles instead of filling in a template, based on 500+ hours studying top creators. It is aimed at creators and marketers who script reels, shorts and hooks with AI. - Magnitude: 3.9 out of 10 — Early signal - Stars: 112 total · +5 stars measured 2026-10-15, 18:21–20:00 UTC, ≈ 7 by evening - Star trust: star growth looks organic - Category: AI agents · Created: 2026-10-13 · Last push: 2026-10-13 - GitHub: https://github.com/aiwithremy/content-principles · Page: https://gitnova.dev/en/r/aiwithremy/content-principles ## Useful for - Write a reel script and let the skill pick the hook and structure - Audit an already written post against the content principles - Generate 10 hooks for a video topic without a fixed template ## Why it’s here - Star-counter measurements on 2026-10-15 (UTC), 18:21–20:00: 107 → 112 stars (+5). This is the change over that interval. - Estimated end-of-day forecast: about +7 stars, using observed gains and the previous day. - The repository is 2 days old and already has 112 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #187. - About 13 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 13 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 25 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 4 ## Stars per day, last 3 days (oldest → newest, today is partial) 2026-10-13 … 2026-10-15: 0, 69, 5 ## Spotted in now - Top new repositories this week: #187 ## More in this category 1. **morluto/rea** — 7.4 · Breakout · AI agents · TypeScript · +25,324 stars measured 2026-10-15, 00:20–19:58 UTC, ≈ 29,359 by evening A reverse-engineering tool that lets AI agents inspect apps and native binaries: it connects agents to Hopper or Ghidra via MCP and CLI, helping explain how a feature works and rebuild it in your own project. Full card: https://gitnova.dev/en/r/morluto/rea.md 2. **outcrawlai/scout** — 6.8 · Early signal · AI agents · TypeScript · +175 stars measured 2026-10-15, 00:20–19:58 UTC, ≈ 212 by evening Open-source browser agent in TypeScript: takes a task in plain words, opens a real browser, reads pages, clicks, types and scrolls until the job is done, then returns the answer. Works with any chat completions API service or a local model. Full card: https://gitnova.dev/en/r/outcrawlai/scout.md 3. **anthropics/claude-plugins-official** — 6.4 · Breakout · AI agents · Python · +793 stars measured 2026-10-15, 00:22–19:58 UTC, ≈ 905 by evening Official Anthropic-managed directory of Claude Code plugins: internal plugins plus third-party ones from partners, installable via the built-in marketplace. Full card: https://gitnova.dev/en/r/anthropics/claude-plugins-official.md 4. **K-Dense-AI/scientific-agent-skills** — 6.1 · Breakout · AI agents · Python · +996 stars measured 2026-10-15, 00:21–19:58 UTC, ≈ 1,147 by evening A library of 166 ready-to-use skills for AI agents covering bioinformatics, chemoinformatics, medicine, materials science and more, with access to 100+ scientific databases. Compatible with Cursor, Claude Code, Codex and the open Agent… Full card: https://gitnova.dev/en/r/K-Dense-AI/scientific-agent-skills.md 5. **onehumanbeing/esp32-iphone-agent** — 6.1 · Peaking · AI agents · C · +299 stars measured 2026-10-15, 00:20–19:58 UTC, ≈ 347 by evening Lets an AI model drive a real iPhone via an ESP32-S3: the screen is mirrored over AirPlay while the board emulates a USB mouse and keyboard. No Mac, Xcode, Apple developer account or jailbreak required. Full card: https://gitnova.dev/en/r/onehumanbeing/esp32-iphone-agent.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-15 20:45 UTC, updated every 30 minutes.