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AI Agent & Automation Workflows

Skill pack
2 skills0 selected
arize-aiSkills in this pack

INVOKE THIS SKILL when translating a context-graph-mining report into an experiment variant for the procurement-agent. Reads the report's proposed diffs and writes a variant config bundle to experiments/variants/ / (manifest.yaml + systemprompt.txt + optional vendors.json + departments.json). Does NOT modify procurement-agent source — runtime parameterization means the variant is purely additive config. Use after context-graph-mining produces a report; output feeds procurement-experiment run-experiment.

English

INVOKE THIS SKILL when mining the procurement-agent Arize project for patterns in agent decisions vs human overrides, building a context graph, and proposing updates to procurement-agent rules. Use after a batch of reviews has been captured (process.run + override.run spans with annotations) to surface (a) where the agent's recommendations systematically diverge from reviewer overrides, (b) tribal knowledge embedded in reviewer reasoning that should become explicit rules, and (c) concrete code-change proposals against the procurement-agent codebase.

English

Includes Context Graph Apply and Context Graph Mining.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills2CategoryscienceStars0

What’s included

Context Graph Apply

INVOKE THIS SKILL when translating a context-graph-mining report into an experiment variant for the procurement-agent. Reads the report's proposed diffs and writes a variant config bundle to experiments/variants/ / (manifest.yaml + systemprompt.txt + optional vendors.json + departments.json). Does NOT modify procurement-agent source — runtime parameterization means the variant is purely additive config. Use after context-graph-mining produces a report; output feeds procurement-experiment run-experiment.

Context Graph Mining

INVOKE THIS SKILL when mining the procurement-agent Arize project for patterns in agent decisions vs human overrides, building a context graph, and proposing updates to procurement-agent rules. Use after a batch of reviews has been captured (process.run + override.run spans with annotations) to surface (a) where the agent's recommendations systematically diverge from reviewer overrides, (b) tribal knowledge embedded in reviewer reasoning that should become explicit rules, and (c) concrete code-change proposals against the procurement-agent codebase.

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Context Graph Apply skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • License details are not provided in these listings. Check the author’s terms before using the skills.
AI Agent & Automation Workflows | Agent Skills Atlas