frameio

ftrack

gathercontent

gatherup

grab-your-reviews

gradeus

hibob

hr-partner

html-to-image

htmlcss-to-image

judgeme

junip

lattice

linearb

locoia

opengraphio

peoplehr

performyard

podium

repuso

reputation-lyncs

reviewflowz

reviewsio

reviewstudio

semgrep

sesame

small-improvements

starloop

successeve

swell

textgain

waydev

>

Summarize the current session and generate reusable Claude rules, skills, or commands.

Update all project documentation after code changes.

Analyze code changes and update KNOWLEDGE_BASE.md with architectural and feature changes.

Effect-TS (Effect) comprehensive development guide for TypeScript. Use when building, debugging, reviewing, or generating Effect code. Covers typed error modeling (expected errors vs defects), structured concurrency (fibers), dependency injection (ServiceMap/Context + Layers), resource management (Scope), retry/scheduling (Schedule), streams, Schema validation, observability (OpenTelemetry), HTTP client/server, Effect AI (LLM integration), and MCP servers. Critical for AI code generation: includes exhaustive wrong-vs-correct API tables preventing hallucinated Effect code. Supports both Effect v3 (stable) and v4 (beta). Use this skill whenever code imports from 'effect', '@effect/platform', '@effect/ai', or the user mentions Effect-TS, typed errors with Effect, functional TypeScript with Effect, ServiceMap, Layer, or Schema from Effect. Also trigger when generating new TypeScript projects that could benefit from Effect patterns, even if the user doesn't explicitly name the library.

Build production MCP servers with the TypeScript SDK. Covers spec 2025-11-25, SDK v1.28+/v2, transport selection, tool design, error handling, security, performance, known bugs with workarounds, MCP extensions, MCP Apps (interactive UIs), authorization extensions, and the MCP Registry. Use this skill whenever building MCP servers, designing MCP tools, choosing MCP transports, handling MCP errors, migrating to MCP v2, reviewing MCP security, optimizing MCP token usage, building MCP Apps, using MCP extensions, publishing to the MCP Registry, or working with registerTool, McpServer, streamable HTTP, outputSchema, structuredContent, tool annotations, ext-apps, or ext-auth.

Current branch: !`git rev-parse --abbrev-ref HEAD`

Three invocation modes:

Audit Solana programs (Anchor or native Rust) for security vulnerabilities. Use when reviewing smart contract security, finding exploits, analyzing attack vectors, performing security assessments, or when explicitly asked to audit, review security, check for bugs, or find vulnerabilities in Solana programs.

Delphi code review checklist — quality, security, performance, SOLID, memory

Resolve code review comments by verifying their validity and proposing multiple solutions for confirmed issues. Use when addressing review feedback, analyzing whether review comments are valid, and generating architectural solutions (not naive fixes) for confirmed issues.

Review the code changes on the current branch. Use when the user asks to review their current work, analyze recent commits, or get a code quality assessment of the active branch against the main branch.

Create a Google Docs post-mortem, schedule a Google Calendar review, and notify via Chat.

Structures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflicts, or when you need to organize work across multiple parallel streams.

Analyze and prioritize a list of feature requests by theme, strategic alignment, impact, effort, and risk. Use when reviewing customer feature requests, triaging a backlog, or making prioritization decisions.

Identify grammar, logical, and flow errors in text and suggest targeted fixes without rewriting the entire text. Use when proofreading content, checking writing quality, or reviewing a draft.

Draft a detailed privacy policy covering data types, jurisdiction, GDPR and compliance considerations, and clauses needing legal review. Use when creating a privacy policy, updating data protection documentation, or preparing for compliance.

Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.