By mistakenot
Structured ideation: generate high-impact feature ideas and run synthetic user-research simulations to decide what to build next.
Fans out a diverse cohort of simulated user personas 'using' the product (with mocked product responses) in parallel sub-agents, then synthesises their traces into ranked feature recommendations. Use when 'simulate users', 'user simulation', 'synthetic user research', 'what would users want', or deciding what to build next. Not for persona-free feature brainstorming (use generate-10-ideas).
Generate 10 brilliant ideas for powerful new functionality. Use when brainstorming features, improvements, or innovations for a system. Internally generates 100 candidates and filters to the top 10 most impactful, pragmatic, and innovative ideas.
A collection of reusable agent skills that implement the Portable Task Workflow -- an AI-agent-driven feature delivery lifecycle from requirements through merged PR.
requirements.md -> solution.md -> context.md -> plan.md -> worktree execution -> PR -> review -> merge -> feedback
Planning happens on main. Implementation happens on feature branches in isolated git worktrees. Each stage is a discrete skill invoked via slash command.
| Skill | Description |
|---|---|
new-task | Create a new task folder with requirements.md from user input |
new-solution | Write a solution design (solution.md) by exploring approaches and tradeoffs |
new-plan | Write context.md and plan.md by gathering codebase context and breaking work into phases |
execute-task | Autonomously implement a planned task end-to-end using worktree isolation |
delegate-task | Dispatch task execution to an idle Claude Code pane in a tmux session |
executor-status-check | Monitor all executor panes in a tmux session and report status |
commit-task | Verify completeness of planning docs and commit them to main |
complete-task | Finalize a feature branch and merge it to main with PR, testing, and cleanup |
code-review | Perform a structured code review with severity labels |
review-task | Review task planning documents and leave structured inline comments |
request-codex-review | Send task planning docs to Codex for review, then resolve any comments |
address-feedback | Work through open PR review threads by fixing code and resolving threads |
resolve-comments | Resolve inline review comment threads in planning docs (markdown and HTML) |
task-feedback-analyser | Extract recurring patterns from completed task feedback into workflow rules |
generate-10-ideas | Brainstorm 10 ideas by generating 100 candidates and filtering to the top 10 |
revise-readme | Update README and documentation to reflect the current state of the project |
npx skills install mistakenot/skills -s '*' -a claude-code codex -y
npx skills install mistakenot/skills -s new-task -a claude-code codex -y
This installs into .claude/skills/ and .agents/skills/.
Files in ./skills/ are compiled output. Edit the source files in ./src/ and run the Makefile targets:
make compile # Compile src/ -> skills/
make install # Compile + install locally into .claude/skills/ and .agents/skills/
make lint # Lint all skills with autoskill
make check # Compile + lint (pre-commit check)
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub mistakenot/skills --plugin ideationDocumentation maintenance: keep READMEs and docs in sync with the current state of the code.
End-to-end AI-agent task delivery: requirements, solution, plan, review, execute, and ship features through a structured plan-to-merge workflow.
Author rich single-file HTML planning docs with tabs, mermaid diagrams, file-change trees, and inline comment threads.
Mine git history, PRs, and session transcripts into a structured learning diary of techniques and breakthroughs.
De-risk ideas before building: run exploratory tech spikes that validate assumptions and stress-test approaches.
UI/UX design intelligence. 67 styles, 161 palettes, 57 font pairings, 25 charts, 15 stacks (React, Next.js, Vue, Svelte, Astro, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, Nuxt, Jetpack Compose). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
This skill should be used when users need to generate ideas, explore creative solutions, or systematically brainstorm approaches to problems. Use when users request help with ideation, content planning, product features, marketing campaigns, strategic planning, creative writing, or any task requiring structured idea generation. The skill provides 30+ research-validated prompt patterns across 14 categories with exact templates, success metrics, and domain-specific applications.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.