productivity▌

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Generate podcast episodes with 1-2 AI speakers discussing a topic. Supports quick overviews, deep analysis, and debate formats. Input can be a topic description, URL(s), or text. Output is a full audio episode with transcript.

AI-powered image editing with style transfer, object removal, background changes, and inpainting. \n \n Supports five core operations: style transfer, object removal, background replacement, inpainting with masks, and general instruction-based edits \n Configurable strength parameter (0.0–1.0) to control edit intensity from subtle to dramatic \n Includes model discovery via search API to find the best current model for each operation type \n Requires image URL and editing prompt; optional mask U

Structured problem framing workshop using MITRE's three-phase canvas to challenge assumptions before solutioning. \n \n Guides teams through Look Inward (examine biases and assumptions), Look Outward (understand who experiences the problem and who's been left out), and Reframe (synthesize into actionable problem statement and \"How Might We\" question) \n Surfaces overlooked stakeholders, marginalized voices, and who benefits from the problem existing, ensuring equity-driven framing \n Produces

Manage local Airflow development environment with Astro CLI commands. \n \n Start, stop, restart, and kill local Airflow containers; default credentials are admin/admin with webserver at http://localhost:8080 \n View logs for all components or specific services (scheduler, webserver) with real-time follow option \n Access container shells and run Airflow CLI commands directly via astro dev bash and astro dev run \n Troubleshoot common issues including port conflicts, startup failures, package er

Per-model cost summaries from CodexBar CLI logs for Codex or Claude providers. \n \n Supports two summary modes: \"current\" (most recent daily model with highest cost) and \"all\" (full model breakdown across all logged days) \n Accepts input via live CodexBar CLI invocation, JSON file, or stdin; outputs as plain text or formatted JSON \n Requires CodexBar CLI installed locally (macOS only via Homebrew; Linux support pending) \n Falls back to last entry in modelsUsed when model breakdowns are u

Optimization framework for getting your content cited by AI search engines like ChatGPT, Claude, and Perplexity. \n \n Covers RAG retrieval factors (semantic relevance, authority signals, freshness) that determine which content AI engines select and cite \n Provides a content checklist including question-based titles, original data, expert quotes, FAQ sections, and structured schema markup \n Includes guidance on entity building, AI crawler access control (GPTBot, Claude-Web, PerplexityBot), and

Structured product requirements documents with problem statements, user stories, and success metrics. \n \n Guides PRD structure across eight sections: problem statement, goals, non-goals, user stories, requirements (P0/P1/P2), success metrics, open questions, and timeline considerations \n Provides frameworks for user story writing, MoSCoW requirement prioritization, and acceptance criteria in Given/When/Then format \n Includes guidance on defining leading and lagging success metrics with speci

Diagnose whether your AI workflows are context stuffing or context engineering, then implement structured practices to improve output quality. \n \n Distinguishes between context stuffing (volume-based) and context engineering (structure-based), with five diagnostic questions to identify Context Hoarding Disorder \n Guides two-layer memory architecture: short-term conversational memory plus long-term persistent memory via vector databases for semantic retrieval \n Implements the Research→Plan→Re

Structured 30-60-90 day onboarding framework drawing from 14 product leaders' approaches. \n \n Covers listening tours, milestone planning, early wins, and belonging through pairing rather than isolation on day one \n Emphasizes defining success at 90 days, 1 year, and 2 years before onboarding begins, plus identifying golden rituals to teach by first Friday \n Includes relationship design conversations, documented management philosophy, and early ownership assignment to accelerate ramp-up to 30