GitHub organization
Agent skills by Inebrio
- skills
- 17
- repository
- 1
Repositories by Inebrio
Skills by Inebrio, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Where documentation lives in this repository, how a page is structured, and what a change owes the docs. | Inebrio/ | 100 | — | ~624 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 2 | Run a Tier 1 or Tier 2 feature end to end — feature level, story level, parallelism, integration, and retrospective. | Inebrio/ | 100 | — | ~3k | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 3 | Run one user story end to end in its own worktree, from claim to merge. | Inebrio/ | 100 | — | ~905 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 4 | Where tests live in this repository, how to run them, and what a story owes in coverage. | Inebrio/ | 100 | — | ~467 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 5 | How to validate a story against its criteria and write the report, including what counts as evidence and what counts as blocking. | Inebrio/ | 100 | — | ~628 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 6 | Shape of a feature analysis document (00-analysis.md). An agent skill from Inebrio/Routerly. | Inebrio/ | 100 | — | ~472 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 7 | Shape of a story blueprint, the technical plan an orchestrator executes. | Inebrio/ | 100 | — | ~581 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 8 | Rules for the dashboard SPA in this repository, including the visual bar a page must clear. | Inebrio/ | 100 | — | ~392 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 9 | Judge which documentation screenshots a change actually invalidates, on top of the mechanical selector, and get a person's approval before regenerating any of them. | Inebrio/ | 100 | — | ~769 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 10 | Rules for service, CLI, shared types and infrastructure code in this repository. | Inebrio/ | 100 | — | ~786 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 11 | Run five independent reasoners on one high-stakes decision and converge. | Inebrio/ | 100 | — | ~641 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 12 | How to freeze and arbitrate the interface between parallel implementers. | Inebrio/ | 100 | — | ~572 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 13 | Non-negotiable rules of this project — wire transparency, surface parity, permission chain, branch policy. | Inebrio/ | 100 | — | ~599 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 14 | Drive a story from BLOCKED back to PASS after validation, with a hard iteration cap. | Inebrio/ | 100 | — | ~609 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 15 | Shape of a user story file with acceptance criteria and edge cases. | Inebrio/ | 100 | — | ~373 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 16 | Routerly's CHANGELOG.md rules — entry format, who writes it per tier, promotion from Unreleased to a version, and archive rotation. | Inebrio/ | 100 | — | ~540 | Automated safety check: Pass | AGPL-3.0 | yesterday |
| 17 | 17.Codebase Map Where things live in this repository and how to find them fast. | Inebrio/ | 100 | — | ~518 | Automated safety check: Pass | AGPL-3.0 | yesterday |
Questions, answered from the data.
What is the best skill by Inebrio?
Docs Conventions from Inebrio/Routerly ranks first of the 17 skills by Inebrio listed here, with the highest score: its repository has 100 GitHub stars, its SKILL.md loads about 624 tokens and it passes the automated safety check with no findings. Next come Feature Lifecycle and Story Lifecycle.
Are Inebrio's skills official?
None yet. All 17 skills by Inebrio 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.