Herramientas

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.

Turns resolved tickets, common questions or workarounds into publish-ready knowledge base articles, structured as how-to guides, troubleshooting, FAQs or known issues, and optimized for search. From Anthropic's official customer-support plugin.

Pulls verbatim customer quotes on a topic from call transcripts, meeting notes and emails, tagging each with speaker, account and date, and summarizes recurring themes into voice-of-customer findings for product and marketing. Connect Gong, email or drive, or upload transcripts. By Anthropic.

Before replying to a customer, verifies answers across the knowledge base, past tickets, CRM and chat history, grades confidence and cites sources; can also find whether an issue was reported before or what a customer was told. From Anthropic's official customer-support plugin.

Account health checks for customer success managers: pulls CRM, email, calendar and call notes to score relationship, engagement, commercial (renewal and expansion), support and value delivery red/yellow/green, and can prep a QBR agenda. CRM preferred; uploads work. Official from Anthropic.

Packages customer issues that need engineering, product or leadership into an escalation brief with scope, repro steps, business impact, asks and deadline, and decides who to escalate to. Support and CRM connectors add context automatically. Part of Anthropic's official customer-support plugin.

Drafts customer-facing replies tuned to the situation and relationship: product questions, outage notices, bad news like delays or won't-fix, declined feature requests and billing disputes, with adjustable tone. From Anthropic's official customer-support plugin; review before sending.

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.

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.

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.

Support persona skill for the gws CLI: triages support-labeled Gmail, turns emails into tasks, logs tickets in Google Sheets, escalates urgent issues to Chat and books follow-ups. Needs gws authorized via your own Google Cloud project plus its companion skills; not officially supported by Google.

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.

For SaaS customer success teams: three standard-library Python scripts turn customer data into health scores, churn-risk tiers and ranked expansion opportunities, with reproducible results. Needs Python and customer data in the sample JSON format. Part of the claude-skills collection.

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.

Google's official skill that queries account data through the Google Ads MCP server to diagnose conversion drops, falling leads and impression share lost to bids, budgets or ad rank. Needs a Google Ads account, API credentials (developer token and OAuth) and Python 3.12.

Google's official skill library and plugin marketplace: nearly 150 skills focused on Google Cloud (GKE, BigQuery, Cloud Run, IAM and more), plus 17 product plugins pairing skills with MCP for Cloud SQL, Spanner, AlloyDB, BigQuery, GCS and others.

Manages BigQuery datasets, tables and jobs with the bq and gcloud CLIs, runs SQL queries and loads data, with references for client libraries, MCP and Terraform. Google's official skill; requires a Google Cloud project.

Google's official skill library, focused on Google Cloud: 100+ skills for gcloud, Cloud Run, GKE, BigQuery, IAM, monitoring and logging, and the Well-Architected Framework, plus Ads and Analytics.

Industrial-grade open-source speech recognition toolkit from Alibaba's ModelScope, with an agent-friendly funasr command that turns audio into text, JSON or SRT subtitles in one step, with speaker diarization and timestamps. Strong on Chinese. Requires PyTorch.

AI2's tool for converting PDFs and scans to Markdown with a vision LLM, handling equations, tables, handwriting and multi-column layouts, suited to bulk digitizing papers and archives. Local runs need an NVIDIA GPU with 12GB+ VRAM; otherwise use a paid OpenAI-compatible remote endpoint.

Lets Claude Code push ML research forward unattended: literature review, topic selection, experiment deployment, cross-model review loops and paper writing through rebuttal, in 80+ skills. Codex acts as the independent reviewer by default; other model pairings work too.

Browser control from the browser-use team: an editable CDP connection lets agents drive the Chrome you are already using, writing missing helper functions as they go and keeping them for reuse. Also offers an MCP server. Allow remote debugging in Chrome on first use.

Context and harness engineering skills: context fundamentals, degradation diagnosis and compression, multi-agent architectures, memory systems, tool design, LLM-as-judge evaluation and self-improvement loops. Focused on principles and design patterns, not tied to any agent platform.

Context and harness engineering skills covering context compression and optimization, multi-agent architectures, memory systems, tool design and LLM-as-judge evaluation, activated automatically by task. Aimed at building production-grade agent systems.