Repository
stacklok/mecatl agent skills
- skills
- 7
- GitHub stars
- 218
GitHub description: “Open source agent harness, built from the ground up for cloud-native production workloads on infrastructure you control. Run the same provider-agnostic loop locally, remotely, or on Kubernetes, with durable state, permissions, and gRPC/HTTP-SSE APIs.”
- Stars
- 218 (20 forks)
- Licence
- Apache-2.0
- Last push
- Oct 2026
- Created
- May 2026
- Homepage
- mecatl.dev
Install all skills
npx skills add stacklok/mecatlAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in stacklok/mecatl, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Interviews you about provider, cost, openness and image needs, then designs the models section of a mecatl settings file with aliases, slots and router categories. | stacklok/ | 218 | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | today |
| 2 | Runs mecatl's offline benchmark and scenario harness to measure, profile with pprof, optimize and prove a performance win with benchstat, then adds a regression benchmark. | stacklok/ | 218 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | today |
| 3 | Cuts a tagged mecatl release by dispatching the release-PR workflow, merging the bot's pull request and verifying the tag, images, Helm chart, signed archives and Homebrew formula. | stacklok/ | 218 | — | ~4k | Automated safety check: Pass | Apache-2.0 | today |
| 4 | Designs, validates and writes the learning section of a mecatl settings file, covering mode, sensitivity, reflection budgets and validated or evaluated activation. | stacklok/ | 218 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | today |
| 5 | Guides reading mecatl's perf MCP data to find why a running harness is slow, leaking goroutines or growing in memory, using cheap reads before any CPU capture. | stacklok/ | 218 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | today |
| 6 | Rebuilds the mecak8s image into the local mecatl-dev Kind cluster and builds mecatui, so you can try in-progress mecatl changes against a real Kubernetes deployment. | stacklok/ | 218 | — | ~927 | Automated safety check: Pass | Apache-2.0 | today |
| 7 | Review completed non-trivial code across four independent axes: Spec, Standards, Test adequacy, and installed Domain specialists. | stacklok/ | 218 | — | ~5.8k | Automated safety check: Pass | Apache-2.0 | today |
Questions, answered from the data.
What is the best skill in stacklok/mecatl?
Mecatl Model Router Config from stacklok/mecatl ranks first of the 7 skills in stacklok/mecatl listed here, with the highest score: its repository has 218 GitHub stars, its SKILL.md loads about 2.7k tokens and it passes the automated safety check with no findings. Next come mecatl Offline Performance Optimization and Mecatl Release Cutting.
Are the skills in stacklok/mecatl official?
None yet. All 7 skills in stacklok/mecatl listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from stacklok/mecatl?
Run npx skills add stacklok/mecatl in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
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.