productivity▌

Diagnostic onboarding protocol for VP and CPO transitions, structured as three phases of learning before action. \n \n Phases 1-2 (Months 1-2) focus on building an evidence base through interviews, pattern-matching, and reality-checking with your manager before making decisions \n Phase 3 (Month 3) begins acting on evidence: sharing your organizational assessment, establishing strategic direction, and addressing people situations with clear rationale \n Emphasizes the consultant mindset—observe

Debugging tools for Turso database using bytecode comparison, logging, and deterministic simulation. \n \n Bytecode comparison workflow identifies whether behavior differences stem from code generation bugs or VM/storage layer issues by comparing SQLite and Turso EXPLAIN output \n Logging via RUST_LOG environment variable captures detailed traces from turso_core and simulator components during test runs \n ThreadSanitizer stress tests detect threading issues across configurable thread counts and

Set up Firebase Authentication with multiple identity providers and secure data access. \n \n Supports email/password, phone number, anonymous, federated providers (Google, Facebook, Twitter, GitHub, Microsoft, Apple), and custom auth integration \n Users are identified by unique UIDs with optional properties including email, display name, photo URL, and email verification status \n Authentication via CLI enables Google Sign In, anonymous auth, and email/password; other providers require Firebas

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Sanitize code for secrets and artifacts, then create and publish GitHub releases with version tags. \n \n Two-phase workflow: Phase 1 runs blocking checks (secrets scan with gitleaks, LICENSE/README validation, personal artifact removal) and stops on failures; Phase 2 creates version tags and publishes via gh CLI \n Requires gh CLI authenticated, gitleaks installed, and a Git repository with a remote configured \n Includes non-blocking checks for build success and dependency vulnerabilities, plu

AI-powered documentation search and Q&A for GitHub repositories via DeepWiki. \n \n Three command modes: ask natural-language questions about repository code and docs, browse wiki structure and topics, or read full documentation contents \n Supports single or multiple repositories (up to 10) in a single query for comparative analysis \n AI-generated answers are grounded in actual repository documentation, with minimum 1-minute timeout for response generation \n Works with any public GitHub

Help plan, execute, and synthesize user research studies.

State management and thread/message access layer for assistant-ui chat applications. \n \n Provides three runtime types: AssistantRuntime for overall state, ThreadRuntime for current conversation, and ThreadListRuntime for managing multiple threads \n Access state via useAuiState selectors and perform operations through useAui() API (append messages, cancel runs, edit/reload messages, query capabilities) \n Emit and listen to lifecycle events: thread.runStart , thread.runEnd , composer.send , an

Use sag for ElevenLabs TTS with local playback.

Manage multiple local CLI agents in parallel tmux sessions with task assignment and monitoring. \n \n Start, stop, and monitor agents running in isolated tmux sessions with log tailing and health checks \n Assign tasks to specific agents and track their output in real time \n Schedule recurring agent work via cron integration for automated workflows \n Requires tmux and Python 3; agents configured in a local agents/ directory \n