GitHub user
Agent skills by itechmeat
- skills
- 5
- repository
- 1
Repositories by itechmeat
Skills by itechmeat, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Sets up, evaluates or turns off Open Second Brain's optional decision-model feature, starting from the o2b decision-model check command and a provider route you choose. | itechmeat/ | 430 | — | ~2.1k | Automated safety check: Pass | MIT | today |
| 2 | Teaches the agent to detect whether the codegraph symbol graph is available and use it for callers, callees and impact questions, without installing or writing anything for it. | itechmeat/ | 430 | — | ~1.6k | Automated safety check: Pass | MIT | today |
| 3 | Walks through turning on semantic search in Open Second Brain: embedding key, sqlite-vec extension, first reindex and an optional periodic refresh, starting from o2b search check. | itechmeat/ | 430 | — | ~2.6k | Automated safety check: Warn | MIT | today |
| 4 | Adds, renames, reviews and explains Brain schema tokens, aliases, prefixes and link types in Open Second Brain vaults, previewing each change before applying it. | itechmeat/ | 430 | — | ~513 | Automated safety check: Pass | MIT | today |
| 5 | Lets an agent read, write and maintain its own memory in a Brain folder of an Obsidian-compatible vault, while keeping the user's own notes read-only. | itechmeat/ | 430 | — | ~1.2k | Automated safety check: Pass | MIT | today |
Questions, answered from the data.
What is the best skill by itechmeat?
Decision Model Setup from itechmeat/open-second-brain ranks first of the 5 skills by itechmeat listed here, with the highest score: its repository has 430 GitHub stars, its SKILL.md loads about 2.1k tokens and it passes the automated safety check with no findings. Next come Codegraph Detection Partner and Open Second Brain Embeddings Setup.
Are itechmeat's skills official?
None yet. All 5 skills by itechmeat listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.