Tools

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.

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.

Drafts offer letters from role, level, location and comp package, listing base salary, equity, signing bonus and first-year total, plus talking points for the hiring manager's negotiation. The template follows US company conventions; have legal review before sending. Official from Anthropic.

Turns a hiring need into a job description, a structured interview guide with scorecard, resume screening criteria and an offer template, delivered as Word documents. With Claude in Chrome it can save drafts in DocuSign. Official from Anthropic; have HR or legal review offer terms.

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.

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.

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.

Generates people analytics reports from employee data: headcount snapshots, voluntary and involuntary attrition, diversity metrics, spans of control and flight risk, with findings and recommendations for leadership. Needs an uploaded employee CSV or a connected HRIS. 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.

Fast vulnerability scanner driven by YAML templates: uses a community template library to detect known vulnerabilities over HTTP, DNS, TCP, SSL and more, supports custom templates and plugs into CI/CD. Use only on targets you're authorized to test.

Turns campaign or channel data into weekly, monthly or quarterly marketing reports: executive summary, key metrics and period-over-period trends, wins and misses, and next-period priorities. Connect analytics tools or just paste tables or key numbers. From Anthropic's knowledge-work-plugins.

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.

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.

Grafana's load and performance testing tool: write test scripts in JavaScript covering HTTP, WebSocket, gRPC and browsers, set threshold assertions and run them in CI.

HR coordinator persona skill for the gws CLI: schedules onboarding sessions in Calendar, uploads onboarding docs to shared Drive, announces new hires in Chat, and turns email requests into tasks and bulk notices. Needs gws with OAuth via a Google Cloud project; not officially supported by Google.

Built-in gws CLI skill: lets agents create Google Forms, add or edit questions in bulk, publish and read responses, handy for sign-ups, surveys and class feedback. Needs gws with a Google account authorized via your own Google Cloud project; not an officially supported Google product.

Open-source infrastructure-as-code tool and community fork of Terraform: describe cloud resources declaratively, run plan to generate an execution plan, then apply changes, creating resources in parallel by dependency graph. Community-governed, MPL-2.0.

Turns websites and Electron desktop apps into deterministic CLIs, with built-in adapters for Reddit, Hacker News, Bilibili, Zhihu, Xiaohongshu and more, and lets agents operate any page through your signed-in Chrome. Needs its companion browser extension.

Kubernetes package manager that packages, installs, upgrades and rolls back releases with Chart templates, including ready-made charts from Artifact Hub. A CNCF graduated project; needs a kubeconfig to reach your cluster.

Detects hardcoded passwords, API keys and tokens in Git repos, files and stdin, and can run as a pre-commit hook or GitHub Action to block leaks. Now feature-frozen with security fixes only, as the author has moved on to Betterleaks.

Finds leaked credentials in Git, GitHub, S3, filesystems and more, recognizing 800+ secret types and checking with each service whether a key is still live to cut false positives.

Chief people officer perspective for HR and founders: hiring plans and headcount costs, salary bands and equity design, org structure, performance calibration and retention. Includes two local Python scripts; pay examples use USD and US city tiers. Have comp and equity plans reviewed.

Helps HR and hiring managers design structured interviews: plans rounds by role and level, builds question banks, competency matrices and scoring rubrics, and suggests ways to reduce interviewer bias and recalibrate. Examples focus on tech roles; optional local Python scripts.

CLI and library for evaluating and red-teaming LLM apps: compare prompts and model outputs in bulk, scan for security vulnerabilities and plug into CI/CD, with evals running locally. Now part of OpenAI and still open source under MIT.