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Processed from AI_from_Dynalist.md. Notes categorized and lightly enhanced for clarity. Items marked with #action need follow-up. Items marked #eval need evaluation before adopting.


  • Review and ACT on CC /insights report: file://wsl$/Ubuntu-24.04/home/ta/.claude/usage-data/report.html
  • Set monthly task to run CC /insights — report findings, then implement upgrades
  • Learn how to use Claude web with CC efforts: clau.de/web
  • Extended Thinking levels: “think” (moderate), “think hard” (challenging), “think harder” (architectural), “ultrathink” (debugging hell)
  • Checkpoints and /rewind for fearless experimentation
  • Subagents: parallelize dev by spawning specialized agents (backend, frontend, tests)
  • Context Hygiene: /clear to maintain clarity
  • Planning Mode First: separate planning from coding (Shift+Tab twice)
  • Custom Slash Commands: automate repeated workflows
  • VS Code Extension: blend CLI and IDE workflows
  • Hooks: post-edit and pre-commit scripts for code safety
  • Human-Guided Git: manual control over Git history
  • Use Haiku 4.5 for simpler tasks (much cheaper)
  • Haiku is the sprinter, Sonnet is the steady builder, Opus is the careful reviewer
  • Model switching: Alt+P (Windows) mid-session
  • Name sessions for easy resume
  • Start new chats after small steps to clear context window
  • Use PLAN MODE first for everything non-trivial, then auto-accept edits mode
  • Content in projects is cached and doesn’t count against limits when reused
  • /statusline: useful for model and token usage info
  • Tool Search: lazily loads MCP tools, cutting context waste
  • Async hooks: run in background, ~3x faster workflows
  • Learn about Project mode: claude --project
  • Skills gained ability to be invoked with /skill-name
  • Simple commands: single markdown in .claude/commands/
  • Complex skills: directory structure in .claude/skills/skill-name/ with multiple files, scripts, templates
  • Hook scoping hierarchy: global -> project -> skill -> sub-agent
  • Skills auto-reload when SKILL.md changes
  • Combine /commands with MCP servers; marketplace available
  • Plugin system: custom commands, agents, hooks, MCP servers
  • CCPlugins: 24 predefined commands extending CC CLI
  • Start with Gemini’s free tier for prototyping, switch to Claude for production reliability
  • Gemini for 80% of daily tasks (scaffolding, Google integration, deployment)
  • Claude for 20% that matters most (business logic, security, complex features)

  • Rules and Memories: system-level instructions for Agent and Inline Edit
  • Custom commands: reusable workflows with / prefix
    • Project: .cursor/commands/
    • Global: ~/.cursor/commands/
  • Visual Designer via Browser (icon at top)
  • Subscription: US $20/mn (as of 2025OC25)
  • Could use cheaper models in Cursor very cost effectively:
    • Gemini 2.5 Pro (free?)
    • Claude Haiku 4.5
    • Better models when needed

  • Skills are a significant advance in AI effectiveness — as significant as spreadsheets for productivity
  • Accessible: process + knowledge + resources + code functionality, all in English
  • No coding needed, no APIs needed — just clear plain text instructions
  • Validated by how quickly OpenAI created their own skills capability after Anthropic
  • A skill is version-controlled, auditable, testable, and attributable
  • Simple structure creates a compounding flywheel of knowledge and capabilities
  • A skill can include templates, configuration, scripts, and reference documentation in one package
  • Published as open standard at agentskills.io
  • Folders containing SKILL.md file, scripts, and optional resources
  • Portable, composable, efficient — Claude dynamically loads only relevant skill
  • Use gerund form (verb + -ing) for naming: processing-pdfs
  • Description should state what the Skill does AND when to use it
  • !command syntax injects shell command output into skill content
  • context: fork directive runs skill in isolated subagent
  • PreToolUse, PostToolUse, and Stop hooks can be defined in skill frontmatter
  • Playwright Skill: E2E testing: https://github.com/lackeyjb/playwright-skill
  • frontend-design (Anthropic): modern UI design principles, prevents “AI Slop”
  • Superpowers (Obra): /brainstorm and /write-plan
  • ffuf-web-fuzzing: AI security auditor
  • SvelteKit component generators, Tailwind stylers, debt calculator APIs
  • Strategic decisions skill (see Rick Moretti YT)
  • Web dev skills (SvelteKit refactors, debugging, API mocks)
  • Branding/content generation
  • Financial education app prototypes
  • Smart debt coach automated service


  • For Svelte: SvelteGPT #explore, SvelteKit Sensei #explore
  • Superflex: VS Code extension for frontend dev
  • Snyk: security checking
  • Jam: AI debugging with screen recording
  • Mintify: AI generated code documentation
  • Polypane: browser for responsive design, accessibility, performance
  • Gitdocs AI: https://www.gitdocs.space/ (README generation)
  • DevToys: offline Swiss-army tool (JWT, regex, color, diffs)
  • OpenHands: AI agent for commands, edits, tests

  • See: _Working On/AI Dev Workflow.md
  • https://medium.com/vibe-coding/someone-finally-built-the-ralph-loop-i-wanted-8f3050b7b181 (Ralphy upgraded structure)
  • Before automating: use AI to generate markdown specs, run tasks manually once, refine prompts, then wrap in a loop
  • Each loop: one task -> finish -> commit -> update plans -> exit for next loop
  • Use Ralph only where completion criteria are clear and verifiable, set strict spending limits
  • Get another AI model to review results from the first; for critical issues, use best models + second opinions
  • At end of each task, ask AI to review for lessons learned
  • 59% of developers run 3+ AI tools in parallel
  • Use Haiku 4.5 for implementation (much cheaper)
  • “Asynchronous development”: describe feature before bed, AI builds overnight, review in morning
  • Start with clear PRD (Product Requirements Doc) including sequence diagrams
  • Plan first, code later — prevents scope creep
  • Use structured docs before opening Cursor
  • Build UI first, then development
  • Combine tools: Cursor + CodeGuide + Lovable = ultimate speed
  • Test thoroughly, commit after each confirmed step
  • Use Code Rabbit for testing?
  • GLM-4.7: ~Claude-level quality at fraction of cost ($3-6/month)
  • Start with Gemini free tier for prototyping, Claude for production
  • Multi-prompting: send same prompt to 3 models, synthesize best insights
  • 80/20 rule: Gemini for daily tasks, Claude for what matters most
  • OpenRouter: access any LLM from single connection

AI Dev Workflow (“I’ve Built 50+ Apps” Model)

Section titled “AI Dev Workflow (“I’ve Built 50+ Apps” Model)”
  • Ask AI for suggestions on best way to proceed
  • Ask AI to improve initial project outline
  • Ask if AI completely understands the project, what could be clarified
  • ChangeLog.md: always have AI write changes there
  • Supercharge CC, Gemini CLI, any AI coder
  • Multiple models in parallel
  • Unified MCP server configuration

  • AutoGen (Microsoft): most developer-friendly
  • LangGraph (LangChain): visual workflows, fine-grained memory
  • CrewAI: structured teams, role-based execution
  • MetaGPT: models engineering teams (PM, Dev, QA, Architect)
  • AgentVerse: GUI playground for testing agent interactions
  • String.com: prompt, run, edit, deploy agents in seconds

  • ElevenLabs: text-to-speech in own voice
  • Adobe Enhance: podcast.adobe.com/enhance
  • Hedra: photo to video with audio sync
  • Galileo AI: text to UI designs
  • Khroma: AI-powered color palettes
  • Uizard: wireframes in minutes
  • Visily: for non-designers
  • VisualEyes: predict user viewing patterns
  • Gamma.app
  • CheckMyIdea: https://www.checkmyidea-ia.com/ — evaluate business idea potential #use
  • GoReply: https://goreply.com/ — online consultancy sessions, model for Sherpa business #eval
  • ReclaimAI: calendar management
  • Pickaxe: no-code AI products
  • GravityWrite: website/social media content
  • Google Labs: labs.google.com
  • Forms.app: professional forms/surveys
  • Riverside: free audio/video transcription (https://riverside.fm/transcription)
  • Napkin AI: text to visuals
  • Tango: interactive workflow guides
  • GigaBrain: AI for Reddit + Stack Overflow
  • TLDRthis: auto-summarize documents
  • ElevenLabs -> Speechify
  • Canva -> Microsoft Designer
  • Veed.io -> CapCut (free, powerful video editing)
  • HeyGen -> Wondershare Virbo
  • Warp: ~$20/mn usage-based
  • Cursor: US $20/mn
  • Claude Code: billing 29th

25 Prompts to Teach AI Your Thinking Style

Section titled “25 Prompts to Teach AI Your Thinking Style”

6-Step PEST Framework for Strategic Decisions

Section titled “6-Step PEST Framework for Strategic Decisions”

Items recovered from original AI_from_Dynalist.md that were not included in the sorted categories above. Organized by type.

  • Produce executive summary of “The AI Agent Race is Over” article for compliance, privacy, and operations manager role at Lifemark. Email to Jim Wernham@lifemark.ca
  • INCUBATE ON: Skills concept — ongoing incubation for how skills apply to solo dev, SMART DEBT coach, marketing, content
  • Research Claude skills repositories and use some, learn from some. Check Anthropic’s cookbook or community repos for examples
  • Save Mastering Agentic Skills (Spillwave) article to Clippings
  • Explore Spillwave resources — “Great tips, and many useful resources to explore”
  • Continue reading CLAUDE.md Guide article at “Building Your Agent Army: Specialized Agents”
  • Use NotebookLM to summarize CC cheatsheet for my needs: Astro monorepo, SD Mission, KB, utils, SD App
  • Learn about CC 2.3
  • Learn about “best” AI Agents and best frameworks to create them (for my needs): web dev, strategic/dev/ops planning
  • “Get prompt” from “I accidentally made Claude 45% smarter” article
  • Explore MCP servers for Cursor as well (Cline has MCP Marketplace)
  • Learn how to use Projects inside AI chats (Gemini, Claude, ChatGPT) for different development contexts
  • Skill capture prompt: “Create a Skill that captures the pattern we just used for [task]. Focus on [specific aspects].”
  • Iterative Upgrade “Creator” Loop: Feed results back to skill-creator: “The output was too verbose; update the skill to be more concise.” It rewrites SKILL.md for you.
  • Automated Evaluation Test Harness: Create a script that runs your skill against 5 different inputs and saves output. Ask Claude to “evaluate these 5 outputs against my SKILL.md guidelines and grade them.”
  • TASKS.md 24/7 automation prompt: “Please pull the next task from TASKS.md and fully implement and test it. After running tests, analyze logs and screenshots to verify correctness. If you spot any failures or issues, fix them and rerun tests — keep iterating until everything passes. Once verified, commit your changes, then fetch the next task from TASKS.md.”
  • Multi-agent workflow pattern: Model the high-level workflow using prompt.md to create specs, plan, tasks
  • Always include in prompts: “ask me any clarifying questions needed to ensure you clearly understand the task”
  • AI coding process: Include step to analyze carefully for any security vulnerabilities
  • Store prompts in a .prompts folder for organization
  • Prompt workflow: Review first draft of prompt and improve first. Iterate on results.
  • AI dev step: Get AI to consider overlooked edge cases
  • Core Claude workflow: Give Claude context, constraints, and objectives. Let it work. Review outcome and adjust documentation.
  • CC in Cursor question: Best to use CC as VS Code extension — why not in Cursor as extension? #investigate

AI Dev Tactics (Missing from Main Sections)

Section titled “AI Dev Tactics (Missing from Main Sections)”
  • Use popular languages, frameworks (better AI training data)
  • Use a starter project
  • Use one repository (front and backend)
  • Leverage Cursor Composer: apply changes to multiple files
  • Context: use @ to reference several files in Cursor
  • Commit often
  • Understand: have AI explain code you don’t understand
  • Browserbase MCP Server — cloud browser automation
  • Svelte MCP Server — placeholder, explore options
  • Cloudflare MCP Server — and other hosting platforms (Netlify, Vercel, GCP)
  • MCP Server creation tutorial: “I Built an MCP Server in 20 Minutes Using Only AI” (link above)
  • Sequential Thinking MCP detailed features: break down complex problems into manageable steps, revise/refine thoughts as understanding deepens, branch into alternative reasoning paths, adjust total number of thoughts dynamically, generate and verify solution hypotheses
  • Portfolio Pilot, Public, Buywisely, Charwithvideo, Webpilot, Browse with Bing, AI Tool Hunt
  • (Bold = missing from sorted file’s abbreviated list)
  • Mixo: create website from prompt (found under FutureTools.io in original)