rdfitted
27 verified skills27 total stars
dependency-verifier
Automated package dependency verification skill that validates npm and Python package versions from package.json and requirements.txt files. Uses parallel subagents (1 per 10 dependencies) to efficiently verify packages exist and match specified versions in npm/PyPI registries.
development1
gemini-frontend-design
Create distinctive, production-grade frontend interfaces using Gemini 3.1 Pro for design ideation. Helps you choose the right design style (skeuomorphic, glassmorphism, neobrutalism, bento grid, etc.) then generates bold, polished code. Excels at skeuomorphic UIs with rich textures, depth, and fluid animations.
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gemini-llm
Invoke Google Gemini 3 Pro for text generation, reasoning, and code tasks using the Python google-genai SDK. Supports gemini-3-pro-preview (best multimodal), gemini-2.5-pro (reasoning), and gemini-2.5-flash (fast).
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gemini-video
Invoke Google Gemini for video understanding and analysis using the Python google-genai SDK. Supports gemini-3-pro-preview and gemini-2.5-flash for video analysis, transcription, and content extraction.
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meeting-debrief
Post-meeting harvest. Pulls past meetings with a target (person, company, or client slug) from Granola, extracts the new facts/decisions/sentiment/action-items, diffs against existing institutional knowledge, and writes the deltas back to the wiki and client memory without clobbering hand-edits. Use whenever the user finishes a meeting and wants to log it ("debrief that call", "add the meeting to the wiki", "log this", "I just got off the phone with X — capture it"), or wants to retroactively backfill multiple past meetings into the knowledge base. Triggered by phrases like "debrief", "log the call", "capture that meeting", "update the wiki from", "I just had a call with", "/meeting-debrief".
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meeting-prep
Research a person and/or company before a meeting — prospect, cold lead, current client, or unknown contact. Builds a structured briefing by first checking institutional knowledge (wiki + client memory + Granola history) and only then supplementing with external web research. Use whenever the user mentions an upcoming meeting, a new lead, an email they got from someone unfamiliar, or asks "what do we know about X" / "research this person" / "prep for my call with Y". Also handles post-meeting wiki updates. Triggered by phrases like "meeting with", "have a call with", "research <name>", "prep for", "what do we know about", "background on <person/company>", "/meeting-prep".
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sow
Draft Fitted Automation Scope-of-Work documents (Appendix A under MSA). Use when user asks to draft an SOW, scope of work, appendix, or client agreement scope — or invokes /sow. Synthesizes the client's wiki page + recent Granola meetings + sow-conventions reference + closest matching prior SOW, then produces a Markdown draft in Scopes of Work/ for handoff to Cowork for .docx production.
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gemini-animation
Create production-grade animated product demos and launch videos using Gemini 3.1 Pro. Uses a structured scene-based prompting process — Claude interviews you on intent, builds a detailed animation plan with timing/state/effects per scene, then Gemini generates the animated HTML/CSS/JS.
development1
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
development1
LinkedIn Lead Generation
LinkedIn lead generation via Apify search endpoint
development1
skills/last30days-skill
--- name: last30days description: Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool. argument-hint: "[topic] for [tool]" or "[topic]" context: fork agent: Explore disable-model-invocation: true allowed-tools: Bash, Read, Write, AskUserQuestion, WebSearch --- # last30days: Research Any Topic from the Last 30 Days Research ANY topic across Reddit, X, and the web. Surface what people are actually discussing,
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granola
Query the Granola API for full meeting notes, AI summary panels, and transcripts beyond the 3-transcript local cache window. Use when the user asks about meeting content, sentiment/praise mining, decisions, or testimonials from any past meeting — not just recent ones. Triggered by phrases like "what did Tom say", "find quotes from Sam", "praise from <client>", "what was decided in <meeting>", "pull the transcript for <date>", or any cross-meeting analysis where the local cache is too thin.
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gws-chat-tasks
Pulls messages from active Google Chat spaces from the last 24 hours, identifies tasks via @mentions and contextual inference, and posts a plain-text digest to a designated Chat space.
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Master Planner
Strategic planning mode that produces structured implementation plans without executing changes. Use this skill when the user mentions "Master Planner" (case-insensitive), asks to "act as the Master Planner," or invokes the Master Planner role. Do not activate for general /plan usage or casual planning requests — only when the Master Planner persona is explicitly referenced.
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gemini-image
Invoke Google Gemini for image generation and understanding using the Python google-genai SDK. Supports gemini-3-pro-image-preview (generation + understanding), gemini-2.5-flash-image (fast generation), and vision models for analysis.
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remotion
Domain knowledge for Remotion (programmatic video as React). Use whenever working with Remotion code, scaffolding video projects, building animations/compositions/sequences, integrating audio/voiceover/captions, using FFmpeg for trim/silence detection, or rendering videos. Triggers on imports from `remotion`, `@remotion/*`, files under `src/Root.tsx` or `remotion.config.ts`, and any task involving video generation, motion graphics, or React-based video pipelines.
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QuickBooks Queries
QuickBooks API query patterns and entity reference. Use this skill whenever the user needs to query QuickBooks, build reports, look up invoices/customers/vendors, or integrate with the QuickBooks API, even if they don't mention "QuickBooks" by name but reference accounting data, financial records, or billing information.
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pretext-check
Check @chenglou/pretext dependency status, version, and DOM measurement tech debt. Use when working in frontend/JS/TS projects to assess Pretext adoption, scan for reflow-triggering DOM measurement patterns, and monitor the dependency chain. Triggered automatically by frontend-touching commands or explicitly via /pretext-check.
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perf-audit
Static analysis + Lighthouse CLI performance audit with Pretext recommendations. Use when assessing frontend performance, scanning for reflow-triggering patterns, running Core Web Vitals checks, or evaluating text measurement tech debt. Combines code analysis with live Lighthouse metrics. Triggered automatically by frontend-touching commands or explicitly via /perf-audit.
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openai-llm
Invoke OpenAI models for text generation, reasoning, and code tasks using the Python openai SDK. Supports gpt-4o (multimodal), o1 (reasoning), o3-mini (fast reasoning), and gpt-4o-mini (fast).
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proof
Web-first skill for working with Proof documents via proofeditor.ai. Use when a Proof URL is shared, when creating collaborative docs in Proof, or when an installed Proof preference says new docs should live there.
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security-audit
End-to-end Google Workspace security & incident-response audit. Enumerates users, 2SV status, OAuth grants, admin actions, suspicious logins, Drive external shares, and (Tier 2) per-user Gmail forwarding/filters/IMAP. Generates findings HTML brief. Use when a security incident is reported, a client asks for a security baseline, or as part of onboarding/offboarding validation.
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start
Session-start ritual that establishes a learning heartbeat. Detects Tier 1 (code project with .ai-docs/) vs Tier 2 (home directory / institutional mode), loads minimal context, then schedules a recurring CronCreate heartbeat that periodically captures learnings to the appropriate target — project-level learnings.jsonl OR the global wiki at ~/.ai-docs/wiki/. Invoked automatically at session start (after the wiki/project-dna read in ~/CLAUDE.md) or manually via /start.
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backup-ops
Secondary backup operations against the Kopia repo — verify integrity, run maintenance/prune, mirror to a second destination, restore files/folders, or run a quick top-up snapshot of hot directories. Use when the user says "verify backups", "check backup integrity", "prune old snapshots", "restore from backup", "mirror backups to cloud", "quick backup", "top up the backup", or asks about backup health. For the primary backup run, use the `backup` skill instead.
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skills/bp-iterate
# /bp-iterate Iterate the Fitted Business Plan(s). Manages the **internal canonical** and the **external partner/investor variant**, snapshot-on-version-bump lineage, redaction enforcement between variants, and cross-document coupling. ## When this runs - User says `/bp-iterate`, "iterate the BP," "bump the BP," "update the business plan," "version up the BP," "create / update / refresh the external variant" - A material trigger fires per the BP's own Iteration Log (first 2 new closes / fundi
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backup
Run Kopia-based backups of key Windows files and config to an external drive. Use when the user says "back up", "run a backup", "snapshot", "the backup drive is plugged in", or wants to set up / configure backups for the first time. Handles initial repo setup, drive detection by volume label, source enumeration, and snapshot creation with structured exclusions.
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restore
Restore from the Kopia backup repo in one of two opinionated modes. **wikis** (frequent, default) syncs per-project `.ai-docs/` directories from backup to local project trees — used to move compound-knowledge wikis between machines via the backup drive as sneakernet. **full** (rare) restores all sources to original paths for greenfield machine rebuild. Use when the user says "restore wikis", "sync wikis from backup", "pull the wikis", "I plugged in the backup drive on this machine", "rebuild this machine", "greenfield restore", or "restore everything". For ad-hoc single-file restores, use `backup-ops restore` instead.
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