Intelligent prompt optimization -- enriches vague prompts with research-based clarifying questions before Claude Code executes them
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
'%20stop-opacity%3D'0.16'%2F%3E%3Cstop%20offset%3D'1'%20stop-color%3D'rgb(200%2C90%2C60)'%20stop-opacity%3D'0.03'%2F%3E%3C%2FlinearGradient%3E%3C%2Fdefs%3E%3Crect%20width%3D'320'%20height%3D'200'%20fill%3D'url(%23g)'%2F%3E%3Ccircle%20cx%3D'250'%20cy%3D'56'%20r%3D'92'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.06'%2F%3E%3Ccircle%20cx%3D'64'%20cy%3D'172'%20r%3D'58'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.05'%2F%3E%3C%2Fsvg%3E)
npx claudepluginhub acaprino/claude-code-daodan --plugin prompt-improverCross-platform development rulebook -- security (validation, auth tokens, passkeys/WebAuthn, API security, XSS/CSP, secrets), architecture (client-server, REST vs GraphQL, offline-first, monolith-first, CI/CD), and performance (bundles, images, Core Web Vitals, SSR/SSG, CDN caching) for SPA, PWA, mobile, Electron (with Fuses + asar integrity), and Tauri; includes /platform-review standalone command
acaprinoReact performance optimization, React 19 API adoption, state management audit, bundle analysis, re-render detection, and Vercel best practices checklist
acaprinoOrchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code Agent Teams. Includes the team-review pipeline (deep-dive + interconnect map + parallel reviewers + codebase-hygiene auditor + consolidation) for finding cross-component logic bugs plus dead code / orphan assets / VCS cruft / phantom deps, the team-codebase-map pipeline (context brief + interconnect map + parallel writers + drift-aware review) for producing accurate codebase documentation, and the team-deep-dive pipeline (partition detection + parallel per-partition workers + synthesis + global interconnect map) for monorepo-scale deep-dive analysis.
acaprinoClaude Code Daodan session hooks -- skill awareness injection, PreToolUse security gate that BLOCKS hardcoded secrets before they reach disk, autocompact when context is high, cleanup of duplicate built-in plugins, review gate for PR/merge operations, docs gate for documentation auditing, and team spawn gate with runtime-generated agent catalog from marketplace.json (no more drift from hardcoded lists)
acaprinoGeneric Claude Code plugin marketplace manager -- auditing, validation, AI quality review, upstream sync, plugin scaffolding, and health monitoring. Works against any project with the standard .claude-plugin/marketplace.json + plugins/<name>/ layout; reads project-specific conventions (author, license, category taxonomy, upstream sources) from the target marketplace.json and CLAUDE.md
acaprinoIntelligent prompt optimization: injects the right context at the right moment so Claude lands a better first output. Clarifies vague prompts with research-based questions, plus targeted nudges for approach selection, plan readability, workflow routing, background execution, subagent routing, output readability, user-decision questions, and plan-mode assessment
severity1+ask +deep +web <- modifiers | optimize your prompts
tolibearTools for crafting, reviewing, analyzing, refining, and optimizing LLM prompts for clarity, precision, goal effectiveness, and token efficiency
doodledoodTurn any rough prompt, half-formed idea, or task description into a finished, ready-to-send prompt optimized for any LLM model inside a chat interface — NOT the API. Use this skill whenever the user wants to write, rewrite, optimize, improve, sharpen, or polish a prompt for chat. Trigger phrases…
githubMeta-cognition: refine input through brainstorming, refine output through challenge and condensed communication mode.
ai-driven-devGenerate optimized prompts, PRDs, and task plans for Replit Agent that maximize AI understanding and minimize iterations
sergio-bershadsky