# win4r/MuseAI-Skills > Unofficial archive of skill docs (SKILL.md) and a runtime snapshot of the muse.ai personal AI agent: 68 skills, connector manifests and permission lists. Meant for studying how triggers, task routing and deliverable acceptance are designed in agent workflows. - Magnitude: 6.2 out of 10 — Early signal - Stars: 101 total · +103 stars today, ≈ 129 by evening - Star trust: star growth looks organic - Category: AI agents · Language: HTML · Created: 2026-09-25 · Last push: 2026-09-25 - GitHub: https://github.com/win4r/MuseAI-Skills · Homepage: https://www.youtube.com/@AIsuperdomain · Page: https://gitnova.dev/en/r/win4r/MuseAI-Skills ## Useful for - Study how skill triggers and output contracts are designed to reuse in your own agent instructions - Examine how skills separate planning, live lookups and transactions using travel-planning and booking - Review connector permission manifests (Gmail, Google Drive, Plaid) before configuring your own OAuth scopes ## Why it’s here - 103 stars so far today, about 129 expected by the end of the day. - The repository is 0 days old and already has 101 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #164. - About 227 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: 39 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 129 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 9 ## Stars per day, last 6 days (oldest → newest, today is partial) 2026-09-20 … 2026-09-25: 0, 0, 0, 0, 0, 103 ## Spotted in now - Top new repositories this week: #164 ## More in this category 1. **paperclipai/paperclip** — 8.7 · Breakout · AI agents · TypeScript · +1,241 stars today, ≈ 1,665 by evening Open-source Node.js and React platform for orchestrating a team of AI agents: goals, org chart, budgets, tickets and audit. Suits teams running autonomous agents (Claude Code, Codex, Cursor, etc.) and wanting to manage them like employees. Full card: https://gitnova.dev/en/r/paperclipai/paperclip.md 2. **vectorize-io/hindsight** — 8.7 · Breakout · AI agents · Python · +1,343 stars today, ≈ 1,783 by evening Hindsight is a long-term memory system for AI agents that stores facts and observations rather than just conversation history, reporting state-of-the-art results on the LongMemEval benchmark. It runs as a server (Docker, pip, Helm) or… Full card: https://gitnova.dev/en/r/vectorize-io/hindsight.md 3. **google/ax** — 7.8 · Breakout · AI agents · Go · +526 stars today, ≈ 749 by evening A declarative orchestrator for running autonomous AI agent workloads in a cluster, using a Kubernetes-like model with Task, Workspace, Gateway, and Model manifests. It sandboxes agents, pre-wires their environment, and restricts network… Full card: https://gitnova.dev/en/r/google/ax.md 4. **Contrastive-LM/CLM** — 7.5 · Early signal · AI agents · Python · +240 stars today, ≈ 351 by evening CLM is a class of System One language models trained contrastively to connect states and actions; the repo serves CLM-8B behind a TypeSafe-compatible API for fast agent decision-making. Full card: https://gitnova.dev/en/r/Contrastive-LM/CLM.md 5. **NandhaKishorM/laya** — 7.4 · Cooling · AI agents · Python · +843 stars today, ≈ 1,200 by evening Laya is a non-autoregressive decision engine that answers typed questions (choice, score, noul) over any state (text, email, ticket, JSON) in a single forward pass (~35 ms on GPU) with calibrated probabilities. Full card: https://gitnova.dev/en/r/NandhaKishorM/laya.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 2026-09-25 17:53 UTC, updated every 30 minutes.