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AI & LLM Engineering · github/gh-aw
5 skills found.
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Internal gh-aw architecture: validation system design, safe output message patterns, schema validation, YAML compatibility notes, and MCP logs guardrail. | github/ | 5.4k | — | ~4.5k | Automated safety check: Pass | MIT | today |
| 2 | Use gh agent-session commands to inspect and manage agent sessions. | github/ | 5.4k | — | ~2.6k | Automated safety check: Pass | MIT | today |
| 3 | Use gh agent-task commands to create, run, and monitor agent tasks. | github/ | 5.4k | — | ~2.6k | Automated safety check: Pass | MIT | today |
| 4 | Analyze and reduce token consumption in agentic workflows — guardrail-specific entry points, measurement, and optimization techniques. | github/ | 5.4k | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 5 | Maintain model-routing audit golden fixtures and expected outputs. | github/ | 5.4k | — | ~453 | Automated safety check: Pass | MIT | today |
