pskoett/measuring-ai-proficiency

pskoett/measuring-ai-proficiency

Skill Claude Code

Create natural language GitHub Actions workflows using the agentic workflows pattern from GitHub Next.

pskoett/measuring-ai-proficiency

Skill Claude Code

Monitors context window health throughout a session and rides peak context quality for maximum output fidelity. Activates automatically after plan-interview and intent-framed-agent. Stays active through execution and hands off cleanly to simplify-and-harden and self-improvement when the wave completes naturally or…

pskoett/measuring-ai-proficiency

Skill Claude Code

Customize AI proficiency measurement for your specific repository through a guided interview. Use when: setting up measure-ai-proficiency for a new repo, adjusting thresholds for your team's size, hiding irrelevant recommendations, or mapping custom file names to standard patterns.

pskoett/measuring-ai-proficiency

Skill Claude Code

Turns promoted learnings into permanent eval cases. Runs regression checks to verify promoted rules hold. This is the outer loop's regress-test step.

pskoett/measuring-ai-proficiency

Skill Claude Code

Frames coding-agent work sessions with explicit intent capture and drift monitoring. Use when a session transitions from planning/Q&A to implementation for coding tasks, refactors, feature builds, bug fixes, or other multi-step execution where scope drift is a risk.

pskoett/measuring-ai-proficiency

Skill Claude Code

Reads accumulated .learnings/ files across all sessions, finds patterns, and produces a ranked list of promotion candidates. This is the outer loop's inspect step.

pskoett/measuring-ai-proficiency

Skill Claude Code

Assess and improve repository AI coding proficiency and context engineering maturity. Use when users ask about: (1) AI readiness or AI maturity assessment, (2) context engineering quality or improvement, (3) CLAUDE.md, .cursorrules, or copilot-instructions files, (4) measuring how well a repo is prepared for AI coding…

pskoett/measuring-ai-proficiency

Skill Claude Code

Ensures alignment between user and Claude during feature/spec planning through a structured interview process. Use this skill when the user invokes /plan-interview before implementing a new feature, refactoring, or any non-trivial implementation task. The skill runs an upfront interview to gather requirements across…

pskoett/measuring-ai-proficiency

Skill Claude Code

Surfaces relevant accumulated knowledge at the start of a session. This is the bridge that connects the outer loop back into the inner loop — it makes prior learnings visible before the agent starts work.

pskoett/measuring-ai-proficiency

Skill Claude Code

Post-completion self-review for coding agents that runs simplify, harden, and micro-documentation passes on non-trivial code changes. Use when: a coding task is complete in a general agent session and you want a bounded quality and security sweep before signaling done. For CI pipeline execution, use…

pskoett/measuring-ai-proficiency

Skill Claude Code

How to drive the 14-workflow agent factory in this repo from a Claude session. Covers: when to use the factory vs. direct edits, how to start the chain, where the human gates are, how to pick an implementer, how to recover from stuck PRs, and all the failure modes learned to date. Use this skill when the user asks you…

pskoett/measuring-ai-proficiency

Skill Claude Code

Runs project compile, test, and lint commands between implementation and quality review. Gates simplify-and-harden behind machine verification. If checks fail, routes back to implementation with diagnostics for a fix loop. If checks pass, signals ready for the quality pass. Use after any implementation work completes…