hbmartin

Collect Ratchet local pipeline debug evidence. Use when a run is failed, stuck, stale, stopped, missing outputs, has confusing LLM behavior, or needs local evidence from pipeline traces, events.jsonl, worker.log, raw LLM artifacts, and a debug bundle directory.

Show local Ratchet setup status and optional host-agent configuration.

Evaluate and enhance a ratchet skill using LLM-as-judge A/B testing with an iterative improvement loop.

Run the Ratchet skill extraction pipeline to analyze project sessions and generate reusable skills and strategies.

Show Ratchet help — available commands, output locations, skill and strategy structure, and usage tips.

View or update your Ratchet developer profile (language, level, style) to personalise skill extraction.

Show Ratchet status including pending skills, strategies, and recent pipeline runs.

Stop a running Ratchet pipeline.

Fetch GitHub pull request feedback for a PR number and triage each comment/review item as already fixed, high-level, should be fixed, or should not be fixed. Use when the user asks to evaluate GitHub PR feedback status from `gh pr view`.

Emit clear progress updates by default for most non-trivial tasks and speak milestone status. Use whenever work has multiple phases, may include long-running commands or tests, involves waiting on tools or agents, or benefits from hands-free audible status.

Transform any photo into surrealist AI art. Uses Claude to write a story about your photo, then Gemini generates a reimagined version in one of 35+ visual styles. Deep Apple Photos integration — pick from albums, save back, schedule as an Apple TV screensaver.

Turn your Overcast listening history into actionable intelligence. Syncs episodes, transcripts, and chapters to SQLite, then uses LLM analysis to surface insights from what you've listened to and connect them to your current projects and interests. Depth of analysis is caller-configured.

Send a notification after work completes. Use when the agent should alert you about task completion or important milestones.

Inspect SonarQube Cloud/SonarCloud findings for this repository using local .env credentials. Use when the user asks to inspect, summarize, triage, prioritize, or fix SonarQube/SonarCloud issues, quality gate results, security hotspots, vulnerabilities, bugs, code smells, or new-code findings.

Visually verify graphviz2drawio conversion fidelity by rendering a graphviz source side-by-side as a native graphviz PNG and a converted draw.io PNG, then reading both images to compare. Use this whenever modifying conversion code in graphviz2drawio/ (nodes, edges, styles, text, layout), fixing a rendering or fidelity bug, or whenever the user asks if output "looks right" or "improved" — even if they don't explicitly ask for a visual check. Always verify visually before declaring a conversion change done.

Visually verify graphviz2drawio conversion fidelity by rendering a Graphviz source as both native Graphviz PNG and converted draw.io PNG, then inspecting the images. Use when modifying graphviz2drawio conversion or rendering code, updating specs, fixing layout, style, text, edge, or cluster bugs, or answering whether converted output looks right, improved, or regressed. Always perform a visual check before declaring conversion changes done.

Use when working with iOS/macOS Keychain Services (SecItem queries, kSecClass, OSStatus errors), biometric authentication (LAContext, Face ID, Touch ID), CryptoKit (AES-GCM, ChaChaPoly, ECDSA, ECDH, HPKE, ML-KEM), Secure Enclave, secure credential storage (OAuth tokens, API keys), certificate pinning (SecTrust, SPKI), keychain sharing across apps/extensions, migrating secrets from UserDefaults or plists, or OWASP MASVS/MASTG mobile compliance on Apple platforms.

Audit and improve SwiftUI runtime performance. Use when diagnosing slow rendering, janky scrolling, high CPU, memory usage, excessive view updates, layout thrash, body evaluation cost, identity churn, view lifetime issues, lazy loading, Instruments profiling guidance, and performance audit requests.

Inspect SonarQube Cloud/SonarCloud findings for this repository using local .env credentials. Use when the user asks to inspect, summarize, triage, prioritize, or fix SonarQube/SonarCloud issues, quality gate results, security hotspots, vulnerabilities, bugs, code smells, or new-code findings.

Render a legolization LDraw model (.ldr/.mpd) to PNG images from front, iso, and top angles so it can be visually inspected. Use whenever asked to see, view, preview, screenshot, render, or visually check a generated model — or to confirm a placement/color/stability change looks right in the actual bricks rather than only in tests.

Search Fireflies.ai meeting transcripts by keyword and download the full matching transcripts as Markdown. Use when the user wants to find, look up, pull, or read meeting notes or call transcripts from Fireflies by topic, phrase, speaker, or keyword (e.g. "find the meeting where we discussed pricing", "pull my Fireflies calls that mention renewal risk", "search my meeting transcripts for the roadmap").

Inspect SonarQube Cloud/SonarCloud findings for this repository using local .env credentials. Use when the user asks to inspect, summarize, triage, prioritize, or fix SonarQube/SonarCloud issues, quality gate results, security hotspots, vulnerabilities, bugs, code smells, or new-code findings.

Inspect SonarQube Cloud/SonarCloud findings for this repository using local .env credentials. Use when the user asks to inspect, summarize, triage, prioritize, or fix SonarQube/SonarCloud issues, quality gate results, security hotspots, vulnerabilities, bugs, code smells, or new-code findings.

Inspect SonarQube Cloud/SonarCloud findings for this repository using local .env credentials. Use when the user asks to inspect, summarize, triage, prioritize, or fix SonarQube/SonarCloud issues, quality gate results, security hotspots, vulnerabilities, bugs, code smells, or new-code findings.

Emit clear progress updates by default for most non-trivial tasks and speak milestone status. Use whenever work has multiple phases, may include long-running commands or tests, involves waiting on tools or agents, or benefits from hands-free audible status.