# obra/superpowers > A software development methodology for coding agents: a set of composable skills that make the agent clarify the spec, agree on a plan, and work through subagents with TDD. - Magnitude: 5.2 out of 10 — Steady - Stars: 307,633 total · +210 stars measured 2026-10-29, 00:03–05:42 UTC, ≈ 933 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Shell · License: MIT · Created: 2025-10-09 · Last push: 2026-10-23 - GitHub: https://github.com/obra/superpowers · Page: https://gitnova.dev/en/r/obra/superpowers ## Useful for - Install Superpowers in Claude Code or Cursor so the agent asks for a spec before writing code - Run a feature through spec, plan, and subagent-driven implementation with red/green TDD - Enforce one development process across several coding agents in a team ## Why it’s here - Star-counter measurements on 2026-10-29 (UTC), 00:03–05:42: 307423 → 307633 stars (+210). This is the change over that interval. - Estimated end-of-day forecast: about +933 stars, using observed gains and the previous day. - Over the last two days the pace is 1.7× that of the previous week and a half. - GitHub Trending today: #3, +1,095 stars. - About 89 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: 27,362 - Issues and pull requests: 2,434 - Watchers: 1,114 - Average over the last week: 715 per day - Usual pace: 536 per day - Stars in the last hour (measured): 44 - Latest release: v7.0.1 (2026-10-21) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-30 … 2026-10-29: 458, 565, 541, 446, 416, 391, 410, 423, 420, 377, 378, 594, 515, 514, 540, 899, 707, 538, 476, 541, 515, 616, 637, 510, 439, 519, 603, 1014, 990, 210 ## Magnitude by day, last 14 days 10-16 5.3, 10-17 4.9, 10-18 4.4, 10-19 4.5, 10-20 4.5, 10-21 4.4, 10-22 4.6, 10-23 4.7, 10-24 4.2, 10-25 4.0, 10-26 4.4, 10-27 4.7, 10-28 5.5, 10-29 5.2 ## Spotted in now - GitHub Trending today: #3, +1,095 stars ## More in this category 1. **HKUDS/DeepTutor** — 8.8 · Breakout · AI agents · Python · +521 stars measured 2026-10-29, 00:02–05:41 UTC, ≈ 1,996 by evening A lifelong personalized AI tutor with long-term memory: builds learning paths, reads documents and books, and runs practice and assessments via a multi-agent system and RAG. Full card: https://gitnova.dev/en/r/HKUDS/DeepTutor.md 2. **elayadesign/ai-design-skills** — 7.9 · Breakout · AI agents · +284 stars measured 2026-10-29, 00:02–05:41 UTC, ≈ 1,293 by evening A collection of markdown-based design skills for AI coding tools like Claude Code, Cursor, Codex and Windsurf, covering landing page design and turning static designs into animated showcases. Full card: https://gitnova.dev/en/r/elayadesign/ai-design-skills.md 3. **pbakaus/impeccable** — 7.7 · Breakout · AI agents · Rust · +704 stars measured 2026-10-29, 00:02–05:41 UTC, ≈ 2,588 by evening A set of commands and detector rules for AI coding agents that helps them produce better frontend design instead of generic templates. Installs as a skill into Claude Code, Cursor, Codex and other harnesses. Full card: https://gitnova.dev/en/r/pbakaus/impeccable.md 4. **anonnerdfrenzy/survival-llm** — 7.7 · Early signal · AI agents · Python · +60 stars measured 2026-10-29, 00:02–05:41 UTC, ≈ 350 by evening A local offline LLM assistant with a library of ~1.5M survival, medical and how-to articles; every answer cites the exact source passage. Full card: https://gitnova.dev/en/r/anonnerdfrenzy/survival-llm.md 5. **unclebob/ub-mode** — 7.6 · Breakout · AI agents · +236 stars measured 2026-10-29, 00:02–05:41 UTC, ≈ 1,087 by evening An agent skill that enforces disciplined software engineering practices when writing or changing code: TDD, root-cause fixes, behavior testing, and quality gates via mutation testing. Installed as SKILL.md into the agent's skills directory. Full card: https://gitnova.dev/en/r/unclebob/ub-mode.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 2026-10-29 05:52 UTC, updated every 30 minutes.