pskoett-ai-skills
github.com/pskoett/pskoett-ai-skills
Skill | Added | Review |
|---|---|---|
agent-teams-simplify-and-harden Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle. | 90 Impact Pending No eval scenarios have been run Securityby  Advisory Suggest reviewing before use Reviewed: Version: d6c68fa | |
self-improvement-ci CI-only self-improvement workflow using gh-aw (GitHub Agentic Workflows). Captures recurring failure patterns and quality signals from pull request checks, emits structured learning candidates, and proposes durable prevention rules without interactive prompts. Use when: you want automated learning capture in CI/headless pipelines. | 77 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: d6c68fa | |
intent-framed-agent 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. | 86 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: d6c68fa | |
simplify-and-harden 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 simplify-and-harden-ci. | 72 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: d6c68fa | |
simplify-and-harden 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 simplify-and-harden-ci. | 78 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: d6c68fa | |
self-improvement Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks. For CI-only/headless learning capture, use self-improvement-ci. | 88 1.86x Agent success vs baseline Impact 93% 1.86xAverage score across 6 eval scenarios Securityby Passed No known issues Reviewed: Version: d6c68fa | |
plan-interview 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 technical constraints, scope boundaries, risk tolerance, and success criteria before any codebase exploration. Do NOT use this skill for: pure research/exploration tasks, simple bug fixes, or when the user just wants standard planning without the interview process. | 80 1.03x Agent success vs baseline Impact 56% 1.03xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: d6c68fa | |
simplify-and-harden-ci CI-only Simplify & Harden workflow for pull requests using gh-aw (GitHub Agentic Workflows). Runs headless scan-and-report checks for simplify/harden/document, posts structured findings, and can block merges on critical or advisory classes. Use when: you want automated quality/security review in CI without interactive approvals. | 77 Impact Pending No eval scenarios have been run Securityby Advisory Suggest reviewing before use Reviewed: Version: d6c68fa | |
intent-framed-agent 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. | 86 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: d6c68fa | |
context-surfing 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 exits via handoff. Use this skill whenever a multi-step agent task is underway and session continuity or context drift is a concern. Especially important for long-running tasks, complex refactors, or any work where degraded context would silently corrupt the output. Trigger even if the user doesn't say "context surfing" — if an agent task is running across multiple steps with intent and a plan already established, this skill is live. | 65 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: d6c68fa | |
agent-teams-simplify-and-harden Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle. | 85 Impact Pending No eval scenarios have been run Securityby Advisory Suggest reviewing before use Reviewed: Version: d6c68fa | |
context-surfing 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 exits via handoff. Use this skill whenever a multi-step agent task is underway and session continuity or context drift is a concern. Especially important for long-running tasks, complex refactors, or any work where degraded context would silently corrupt the output. Trigger even if the user doesn't say "context surfing" — if an agent task is running across multiple steps with intent and a plan already established, this skill is live. | 65 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: d6c68fa | |
dx-data-navigator Query Developer Experience (DX) data via the DX Data MCP server PostgreSQL database. Use this skill when analyzing developer productivity metrics, team performance, PR/code review metrics, deployment frequency, incident data, AI tool adoption, survey responses, DORA metrics, or any engineering analytics. Triggers on questions about DX scores, team comparisons, cycle times, code quality, developer sentiment, AI coding assistant adoption, sprint velocity, or engineering KPIs. | 94 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: d6c68fa | |
self-improvement Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks. For CI-only/headless learning capture, use self-improvement-ci. | 90 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: d6c68fa | |
plan-interview 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 technical constraints, scope boundaries, risk tolerance, and success criteria before any codebase exploration. Do NOT use this skill for: pure research/exploration tasks, simple bug fixes, or when the user just wants standard planning without the interview process. | 90 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: d6c68fa |