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Scaffold a PhysicsIntern research workspace in the current folder (Claude Code).
Drive the Pi coding agent from Claude Code โ model-agnostic, works with whatever provider pi is configured for (DeepSeek, OpenAI, Anthropic, Google, Ollama, LM Studio, or any OpenAI-compatible endpoint). /pi:review with structured findings, /pi:adversarial-review for design challenges, /pi:rescue with background job control (status/result/cancel), and an optional stop-time review gate. No OAuth (API key only). 1:1 fork of openai/codex-plugin-cc with the runtime swapped from Codex to Pi.
้่ฟ PicList HTTP Server ๅฐ Markdown ไธญ็ๆฌๅฐๅพ็ไธไผ ๅฐๅพๅบ
Analyze business data and build custom Pigment models, metrics, and boards through natural language.
Sanitize files for external sharing - bug reports, GitHub issues, support tickets, log dumps. Pattern-based regex substitution plus user-supplied context tokens, with mandatory audit and re-audit.
DLP guard-rail and controls for the pii-hole anonymizing proxy
Comprehensive guide for building integrations with Israel's Pikud HaOref (Home Front Command) alert system
Structural codebase indexer (MCP): search_symbols, get_file_summary, find_usages, get_dependencies + passive session memory. Cuts token usage on medium-to-large codebases (break-even ~40+ files). Self-configuring, no per-project setup.
Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explore indexes. Access the Pinecone MCP server for creating, describing, upserting and querying indexes with Claude. Perfect for developers building semantic search, RAG applications, recommendation systems, and other vector-based applications with Pinecone.
One efficient retrieval skill for exact Ping product documentation, version-specific APIs, and dated offline fallback.
Standard delivery pipeline for non-trivial work: coverage matrix (security/risk/review/tests/docs), adaptive routing, verification gates, and PR-ready output. Routes real implementation into the orchestrate loop.
Lifecycle orchestrator over rails-flow and qa-flow โ build -> verify -> certify -> containerized release, honoring every gate. Release artifact is a versioned ghcr.io Docker image (local pull-and-run today, Kamal cloud when ready). /pipeline:deploy-cloud reads a prepared .env and generates the full Kamal 2 config + wires secrets safely (committed deploy.yml references names; gitignored .kamal/secrets holds values), then deploys with approval.
Autonomous feature development pipeline with assessment, research, prompt generation, adversarial review (ambiguity surfacing), and worktree-based execution with review-fix loops and surgical-change discipline
Reconstruct a venture fund's deal pipeline from Gmail + Google Calendar.
Source B2B prospects matching Pipemind's ICP, verify emails via SMTP, and log contacts to the shared Google Sheet prospect tracker.
Landing page and marketing copy โ write hero section, problem/solution blocks, proof points, and CTAs. Use when asked to "write landing page copy", "write the homepage", "marketing copy for this feature", "product page copy", "write the hero section", or "write copy for [surface]".
Produce an actual launch plan with announcement copy, channel sequence, and day-1 checklist. Use when asked to "plan a launch", "GTM strategy", "how do we announce this", "launch plan for [feature]", "go-to-market", "write our Product Hunt post", or "how do we get people to notice this".
Messaging framework โ produce a full headline, subheadline, proof points, and CTA hierarchy for use across all surfaces. Use when asked to "write our messaging", "messaging framework", "what should our headline say", "copy hierarchy", "tagline and messaging", or "how do we talk about the product".
Produce a complete positioning document using the Dunford framework โ competitive alternatives, unique attributes, value, best-fit customer, market category, positioning statement, and tagline. Use when asked to "write our positioning", "define our value prop", "positioning statement", "what market are we in", "how do we position against X", "what's our tagline", or "write our messaging foundation".
Marketing and messaging reconnaissance โ read existing landing pages, copy, positioning docs, and marketing materials to understand the current messaging state. Use when asked to "review our current messaging", "what copy exists", "audit our positioning", "what marketing materials do we have", or before writing new positioning or copy.
ใชใผใฑในใใฌใผใทใงใณๅฎ่กไธญใฎๆๆ็ฉ(diffใป่จญ่จๆธใปใในใ็ตๆ)ใ .pitcrew/ ใฎใฌใใฅใผใญใฅใผใธ้ๆฌกๆธใๅบใใไบบ้ใฎไธฆ่ตฐใฌใใฅใผใๅฏ่ฝใซใใใใฉใฐใคใณ
from CookSaw/claude-skills
Generate AI images paid per-image with USDC micropayments on Base via the x402 protocol