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Checks hours before payroll for US small businesses: totals regular time, overtime and PTO from Gusto, QuickBooks Payroll or timesheets, and flags missed punches, overtime anomalies, rate changes and mid-period hires or exits. Prepares only, never runs payroll. Official from Anthropic.

Compensation analysis for HR and managers: market pay percentiles by role, level and location, offer competitiveness checks and equity modeling; upload a pay sheet to find employees outside their band and flight risks. Without a comp data source it uses public web data, so verify. By Anthropic.

Screens resumes against a role rubric into a cited shortlist, ignoring irrelevant details like name and age; drafts invite, hold or decline replies, schedules interviews and builds onboarding checklists. Gmail and Calendar are optional, sending only after you confirm. Official from Anthropic.

Performance review season helper: generates self-review and manager review templates and calibration materials, summarizes rating distributions and promotion cases, and rewrites vague feedback into specific behavioral examples. Works in plain chat. Official from Anthropic.

Adds a workflow layer to OpenAI's Codex CLI: requirement clarification, plan review, persistent goals, parallel multi-agent teams and tmux session management, with project state in .omx/ and a bundled Codex plugin. Community project; needs a signed-in Codex CLI, macOS or Linux recommended.

HR plugin: drafts offer letters, generates onboarding checklists, runs performance reviews, answers policy questions, and produces compensation benchmarks and people analytics reports. Can connect to HRIS and ATS systems. Official from Anthropic.

Builds onboarding plans for new hires: a pre-start checklist (accounts, equipment, buddy), day-one and first-week schedules, and 30/60/90-day goals. Works in plain chat; with an HRIS, knowledge base or calendar connected it pulls in team info and books day-one events. Official from Anthropic.

Builds structured interview kits for a role: behavioral and situational questions by competency, follow-up probes, a 1 to 4 scoring rubric and a debrief template, so interviewers assess candidates against the same bar. Part of Anthropic's official human-resources plugin.

Answers employee policy questions in plain language, such as PTO, benefits, expenses, travel and remote work, with sources cited. Paste the handbook into the chat, or connect Notion, Confluence or another knowledge base to search automatically, cutting repeat HR questions. Official from Anthropic.

Data analysis plugin: writes queries in each SQL dialect, explores datasets, runs statistical tests, charts with Python and builds interactive HTML dashboards, then reviews methods and conclusions before sharing. Connects to Snowflake, BigQuery and other warehouses. Official from Anthropic.

Anthropic's official data skill that guides agents to write, translate and optimize SQL across Snowflake, BigQuery, Databricks, PostgreSQL and other warehouse dialects, including CTEs, window functions and analytical aggregations.

Helps with headcount planning and org design: maps reporting lines and spans of control, sequences upcoming hires, estimates people costs, and flags structural issues like single points of failure or top-heavy management. Works in plain chat. Official from Anthropic.

Everyday software engineering plugin: standup summaries, code review, structured debugging, architecture decision records, incident response and pre-deploy checks. Official from Anthropic, built mainly for Cowork but also usable in Claude Code.

Vercel's official skill that pulls the 80+ rules of Vercel's writing handbook online to review docs and copy for voice, structure, content types, code examples and formatting, listing issues as file:line.

Vercel's official cost and performance skill: gathers production metrics, usage and project config, investigates only the routes and files the metrics point to, and returns ranked, doc-backed recommendations. Supports Next.js, SvelteKit and Nuxt; needs Vercel CLI v53+ logged in and linked.

Vercel's official deployment skill: checks the git remote, project link and CLI login, then deploys a preview (default) or production via git push or vercel deploy. When login isn't possible in a sandbox, it can create a claimable preview link.

React and Next.js performance rules from Vercel's engineering team: 70 rules ranked by impact covering request waterfalls, bundle size, server performance and re-renders, for writing, reviewing and refactoring. Maintained by Vercel.

Daemonless, rootless container and pod manager with a Docker-compatible CLI for building, running and pushing OCI images. On macOS and Windows it runs inside a podman machine VM.

Vercel's guide to React composition patterns: replaces boolean prop sprawl with compound components, lifted state and clean Context interfaces, including React 19 API changes. Useful for refactoring component libraries and reviewing component architecture.

Installs ready-made subagents, slash commands, hooks, MCP configs and skills for Claude Code with one npx command, browsable online at aitmpl.com. Also includes session analytics, health checks and other helpers.

Runs the cognee memory engine as an MCP server whose remember, recall and forget tools write documents and conversations into a knowledge graph and vector store for cross-session retrieval. Start it with Docker or uv first; needs an LLM API key by default, or connect to Cognee Cloud.

Runs commands and scripts in a sandbox, indexes large tool outputs for full-text search and returns only results to the context window to save tokens; after compaction it can retrieve edits and task state. Supports Claude Code, Codex and more. Needs Node.js 22.5+.

Processes large tool outputs in a sandbox and returns only the results to context; logs session events in SQLite with FTS5 so work continues after context compaction. Supports Claude Code, Codex and a dozen other clients. ELv2 licensed.

Writes conversations and business data into Graphiti's temporal knowledge graph so agents can retrieve long-term memory by entity, fact and time. Open source from Zep; start FalkorDB or Neo4j and the server with Docker first, and configure an LLM API key.