bintzgavin/apastra · Archived
apastra-baseline
Establish and manage evaluation baselines for regression detection. A baseline is a known-good scorecard that future runs are compared against.
Installation
npx skills add https://github.com/bintzgavin/apastra
Stronger alternatives
This repository is archived — consider an actively maintained alternative.
PromptOps skills for versioning, evaluating, and shipping AI prompts as disciplined software as…
10 installsQuick setup guide for apastra PromptOps. Create your first prompt spec, dataset, evaluator, and…
5 installsRun prompt evaluations using your IDE agent as the harness. Load suites, execute test cases, sc…
5 installsGenerate new prompt specs, datasets, evaluators, and suites from templates. Creates correctly-f…
5 installsSimilar popular skills
Related neighbors and high-traction skills in the same topics — useful to compare before installing.
Quickly deslop UI code by fixing spacing, hierarchy, typography, and small layout issues. Use w…
19.2K installsEstablish build performance baselines and apply systematic optimization techniques. USE FOR: di…
1.7K installsProduction-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-…
1.4K installsUse when the user asks to "map what our surfaces say today", "inventory our current messaging",…
9 installsUse when managing perf baselines, consolidating results, or comparing versions. Ensures one bas…
480 installsGenerate feature specifications by analyzing existing source code.
48 installsAlso in this package
Other skills from bintzgavin/apastra.
npx skills add https://github.com/bintzgavin/apastra
More details
Agent compatibility
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Repository health
main
History
- First seen on skills.sh
- First recorded snapshot · 5 installs