{ "schema_version": "1.1", "id": "atlas-skills", "slug": "skills", "title": "Skills", "url": "https://feed7.dev/atlas/skills", "current_answer": null, "implementation_consequence": null, "agent_context": null, "confidence": "auto_collected", "last_verified": null, "last_updated": null, "evidence": [ { "schema_version": "1.1", "id": "auto-629c51aa89", "slug": "citrolabs-ego-lite-629c51aa89", "url": "https://feed7.dev/p/citrolabs-ego-lite-629c51aa89", "title": "citrolabs/ego-lite", "why_included": "Isolated browser spaces can let parallel agents reuse authenticated sessions without taking over active tabs on macOS.", "summary": "ego lite lets Codex, Claude Code, and other agents automate logged-in web sessions in isolated browser spaces without taking over your active tabs. It is macOS-only today.", "practical_implication": "For authenticated browser work, consider whether shared local state and parallel spaces can replace separate automation browsers. The project reports workflows finishing up to 2.5× faster than Vercel’s agent-browser on four complex tasks.", "agent_context": "ego lite is a macOS browser that gives each agent an isolated **Space** while retaining access to migrated Chrome logins, cookies, extensions, and bookmarks. Its skill exposes page actions as JavaScript functions.\n\nFor authenticated browser work, consider whether shared local state and parallel spaces can replace separate automation browsers. The project reports workflows finishing **up to 2.5× faster** than Vercel’s agent-browser on four complex tasks.\n\nThe comparison is project-reported and covers only **four tasks**. Windows and Linux remain on the roadmap, and the browser itself is a separate free download rather than part of the MIT-licensed repository.", "source": { "name": "GitHub", "url": "https://github.com/citrolabs/ego-lite", "published_at": "2026-07-24T00:00:00.000Z" }, "source_class": "tool", "content_type": "GitHub Repo", "layer": "tools", "domains": [ "coding" ], "topics": [ "computer-use", "coding-agents", "skills" ], "verification": { "status": "needs_review", "label": "Needs Review", "method": "unverified", "verified_at": null }, "uncertainty": [ "Automatically selected from source material; feed7 has not independently tested the claim." ], "connected_context": null, "lifecycle": "New", "published_at": "2026-07-24T00:00:00.000Z", "modified_at": "2026-07-24T00:00:00.000Z", "supersedes": [], "expires_at": null, "formats": { "html": "https://feed7.dev/p/citrolabs-ego-lite-629c51aa89", "json": "https://feed7.dev/p/citrolabs-ego-lite-629c51aa89.json", "markdown": "https://feed7.dev/p/citrolabs-ego-lite-629c51aa89.md" } }, { "schema_version": "1.1", "id": "auto-5077dc1992", "slug": "how-we-set-up-our-cloud-agent-environment-5077dc1992", "url": "https://feed7.dev/p/how-we-set-up-our-cloud-agent-environment-5077dc1992", "title": "How we set up our cloud agent environment", "why_included": "Treat the dev environment as agent infrastructure with Linux parity, one discoverable CLI, end-to-end tests, and automated repair.", "summary": "Cursor’s cloud-agent adoption grew after it treated the dev environment as agent infrastructure: Linux parity, one discoverable CLI, end-to-end testing, and automated repair.", "practical_implication": "Treat the development environment as part of the agent harness. Match cloud and local dependencies, replace fragile command sequences with one discoverable interface, expose verification workflows, and let supervisors own long-running processes.", "agent_context": "Cursor moved its monorepo onto agent-ready Linux VMs, centralized startup and utilities in an internal CLI, and added end-to-end computer-use testing. Cloud agents went from **roughly 1 in 10 merged PRs in December** to **more than half today**.\n\nTreat the development environment as part of the agent harness. Match cloud and local dependencies, replace fragile command sequences with one discoverable interface, expose verification workflows, and let supervisors own long-running processes.\n\nSkills alone only helped at the margins because the underlying commands remained convoluted. Cursor also built **Cursor Cloud MCP** and **Cloud Doctor** to diagnose and repair environment failures, but the adoption figures are internal and do not isolate which change caused the increase.", "source": { "name": "Cursor", "url": "https://cursor.com/blog/cloud-agent-environment", "published_at": "2026-07-30T00:00:00.000Z" }, "source_class": "blog_post", "content_type": "Engineering Post", "layer": "agent", "domains": [ "coding" ], "topics": [ "cloud-agents", "harness-engineering", "skills" ], "verification": { "status": "official_source", "label": "Official Source", "method": "source_feed", "verified_at": null }, "uncertainty": [], "connected_context": null, "lifecycle": "New", "published_at": "2026-07-30T00:00:00.000Z", "modified_at": "2026-07-30T00:00:00.000Z", "supersedes": [], "expires_at": null, "formats": { "html": "https://feed7.dev/p/how-we-set-up-our-cloud-agent-environment-5077dc1992", "json": "https://feed7.dev/p/how-we-set-up-our-cloud-agent-environment-5077dc1992.json", "markdown": "https://feed7.dev/p/how-we-set-up-our-cloud-agent-environment-5077dc1992.md" } } ], "conflicting_sources": [], "superseded_claims": [], "corpus_evidence": [ { "title": "Your Finance Agent's Bottleneck Is You — Ramana Siddanth Emani, Auditoria AI", "url": "https://www.youtube.com/watch?v=z0sh8HyTrDo", "source_name": "AI Engineer", "published_at": "2026-07-30T03:00:06+00:00", "summary": "Production agent velocity depends less on model swaps than on automating the developer loop: isolate parallel work, encode workflows as skills, connect tools, and keep humans as verifiers." }, { "title": "We Vetted 2000 AI Skills Before They Reached Developers — Lucas Palma, Nubank", "url": "https://www.youtube.com/watch?v=iKQ78wyJEXU", "source_name": "AI Engineer", "published_at": "2026-07-29T22:00:06+00:00", "summary": "Treat agent skills as supply-chain dependencies. Nubank scans them locally and in CI with deterministic rules plus LLM review, then gates marketplace distribution and feeds findings into vulnerability management." }, { "title": "Skills are new features: Building Skill-Centric Harness — Yogendra Miraje, FactSet", "url": "https://www.youtube.com/watch?v=7jjudsEhBtM", "source_name": "AI Engineer", "published_at": "2026-07-29T18:00:06+00:00", "summary": "FactSet treats skills as versioned product features and the harness as their runtime. Routing descriptions, model-specific evals, access controls, and governance matter as libraries grow." }, { "title": "Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills", "url": "https://arxiv.org/abs/2607.22529v1", "source_name": "arXiv", "published_at": "2026-07-24T17:59:22+00:00", "summary": "Skill-SP turns agent skills into units for verifiable self-play: generate tasks, solve them, then update the skill library from execution feedback. The abstract provides no per-benchmark effect sizes." }, { "title": "The Regression Tax: Decomposing Why Skills Help and Hurt LLM Agents", "url": "https://arxiv.org/abs/2607.22520v1", "source_name": "arXiv", "published_at": "2026-07-24T17:50:03+00:00", "summary": "Procedural skills can make an agent fail tasks it previously solved. Evaluate gains and regressions separately, and design skills to preserve input grounding and output verification." }, { "title": "Full Workshop: Setting Yourself Up for Success —Jason Liu, OpenAI Codex", "url": "https://www.youtube.com/watch?v=il1c1a2FufU", "source_name": "AI Engineer", "published_at": "2026-07-24T15:00:06+00:00", "summary": "Persistent Codex workflows become more useful with reusable skills, memory, app-aware context, and scheduled thread check-ins—but computer use needs explicit boundaries and stopping rules." }, { "title": "WTF Is the Context Layer? The Missing Infrastructure for Production Agents — Prukalpa Sankar", "url": "https://www.youtube.com/watch?v=8G_1-3IO4ZQ", "source_name": "AI Engineer", "published_at": "2026-07-14T22:45:06+00:00", "summary": "Atlan’s agent experiments argue for shared, versioned context instead of per-agent memory: a portable layer for business facts, skills, norms, retrieval, and feedback across changing harnesses." }, { "title": "Don't Ship Skills Without Evals — Philipp Schmid, Google DeepMind", "url": "https://www.youtube.com/watch?v=0vphxNt4wyk", "source_name": "AI Engineer", "published_at": "2026-07-14T22:00:06+00:00", "summary": "Agent skills need regression tests, not manual spot checks. Test triggering and output with and without each skill, across repeated trials and the harnesses your team actually uses." }, { "title": "Shubhamsaboo/awesome-llm-apps", "url": "https://github.com/Shubhamsaboo/awesome-llm-apps", "source_name": null, "published_at": null, "summary": "This Apache-2.0 collection provides runnable agent, skill, MCP, memory, multi-agent, and RAG examples across major model providers, useful for borrowing patterns before choosing a stack." }, { "title": "Graphify-Labs/graphify", "url": "https://github.com/Graphify-Labs/graphify", "source_name": null, "published_at": null, "summary": "Graphify gives coding agents a queryable project graph with provenance-tagged relationships, reducing repeated repository scans while keeping inferred links visibly distinct from extracted facts." }, { "title": "TencentCloud/TencentDB-Agent-Memory", "url": "https://github.com/TencentCloud/TencentDB-Agent-Memory", "source_name": "GitHub", "published_at": null, "summary": "An open-source memory hub turns agent conversations, workflows, docs, and code into governed assets that can be reused across sessions and roles, reducing repeated project setup." }, { "title": "virgiliojr94/book-to-skill", "url": "https://github.com/virgiliojr94/book-to-skill", "source_name": "GitHub", "published_at": null, "summary": "book-to-skill compiles books and document sets into on-demand agent skills, reducing repeated context loading while preserving chapter-level references and reusable decision rules." }, { "title": "affaan-m/ECC", "url": "https://github.com/affaan-m/ECC", "source_name": "GitHub", "published_at": null, "summary": "ECC packages skills, hooks, memory, orchestration, and security controls for multiple coding-agent harnesses, but its breadth makes selective installation and verification essential." }, { "title": "Vercel Plugin now available in VS Code and GitHub Copilot CLI", "url": "https://vercel.com/changelog/vercel-plugin-now-available-in-vs-code-and-github-copilot-cli", "source_name": null, "published_at": null, "summary": "Vercel’s plugin gives Copilot current platform guidance inside VS Code and the CLI, reducing context setup for agents working with Next.js, AI SDK, and Vercel Functions." }, { "title": "zhaoxuya520/reverse-skill", "url": "https://github.com/zhaoxuya520/reverse-skill", "source_name": "GitHub", "published_at": null, "summary": "A security skill router gives coding agents scoped, repeatable playbooks for reverse engineering and pentesting instead of ad hoc tool selection. Its case workflow also preserves evidence and findings." }, { "title": "Leonxlnx/taste-skill", "url": "https://github.com/Leonxlnx/taste-skill", "source_name": null, "published_at": null, "summary": "A set of portable SKILL.md files that push coding agents past generic frontend output: it infers a design language from the brief and tunes variance, motion, and density dials. 850 stars in a day." }, { "title": "alirezarezvani/claude-skills", "url": "https://github.com/alirezarezvani/claude-skills", "source_name": null, "published_at": null, "summary": "A 354-skill catalog for Claude Code and 12 other coding agents, installable via the plugin marketplace, with a script that converts skills to each tool's format and a built-in security auditor." }, { "title": "coreyhaines31/marketingskills", "url": "https://github.com/coreyhaines31/marketingskills", "source_name": null, "published_at": null, "summary": "Marketing Skills gives coding agents shared product context and task-specific workflows for CRO, copy, SEO, analytics, pricing, and launch work, reducing repeated setup across growth tasks." }, { "title": "Claude Science, an AI workbench for scientists, is now available", "url": "https://www.anthropic.com/news/claude-science-ai-workbench", "source_name": null, "published_at": null, "summary": "Claude Science (beta, June 30) packages 60+ domain skills, a coordinator/specialist/reviewer agent stack, and HPC/Modal compute into a research workbench with reproducible, auditable outputs." }, { "title": "MadsLorentzen/ai-job-search", "url": "https://github.com/MadsLorentzen/ai-job-search", "source_name": null, "published_at": null, "summary": "A trending Claude Code framework (8.4k stars) that runs a job hunt end to end: /scrape ranks postings, /apply tailors LaTeX CVs, and a second reviewer agent plus a PDF-compile loop verifies the output." }, { "title": "addyosmani/agent-skills", "url": "https://github.com/addyosmani/agent-skills", "source_name": null, "published_at": null, "summary": "Addy Osmani's pack of 24 lifecycle skills for coding agents — spec, TDD, review, ship — installs as plain Markdown into Claude Code, Cursor, Gemini CLI and more, with evidence-demanding verification gates." }, { "title": "Nutlope/hallmark", "url": "https://github.com/Nutlope/hallmark", "source_name": null, "published_at": null, "summary": "Hallmark turns interface taste into an installable coding-agent skill: it selects page structures and themes, critiques output, and checks common generated-UI patterns before emitting code." } ] }