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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.

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.

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.

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.

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.

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.

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.

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.

160+ specialized Claude Code subagents, packaged as plugins in 10 categories such as core development, languages, infrastructure, testing and security, and data and AI, so you install only what you need.

Define cloud infrastructure in general-purpose languages like TypeScript, Python and Go, then preview and deploy with pulumi up to AWS, Azure, GCP, Kubernetes and 300+ other providers. Open source and maintained by Pulumi.

Declarative diagram scripting language: describe architecture diagrams, flowcharts and sequence diagrams in concise text with automatic layout, then render with the d2 command to SVG, PNG, PDF or PPTX. Lets agents produce diagrams you can version-control.

Open-source reverse engineering framework and CLI: disassemble, debug, emulate and patch binaries across many architectures and file formats, scriptable through r2pipe or built-in JavaScript.

Community-maintained modern replacement for ls (successor to exa) with colored output, tree view, Git status and file icons, plus .gitignore filtering for quickly scanning directory structures.

Encrypts secret values in YAML, JSON, ENV and INI config files using AWS, GCP or Azure KMS, age or PGP, so secrets can be safely committed to Git alongside code. A CNCF sandbox project.

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 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.

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.

Google's official GKE basics skill: creating clusters, choosing Autopilot or Standard, getting kubectl credentials, configuring Workload Identity and deploying workloads, plus a list of common gotchas. Needs gcloud and a GCP project.

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.

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.

Sealos's Kubernetes lifecycle CLI: one sealos run deploys a highly available cluster across multiple servers, and cluster images install databases, middleware and other apps, with offline delivery support. Linux only.

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.