Awesome Skills vs Stele: Which is Better in 2026?
A comprehensive comparison of Awesome Skills and Stele covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Awesome Skills if:
- →You want more affordable paid plans (from $5/mo)
- →You need indexes open-source skill.md files published on github or install counts per skill so active ones are distinguishable from abandoned
Choose Stele if:
- →You need a broader feature set (8 features vs 6)
- →You need shared knowledge graph of decisions, lessons, risks, and tasks or surfaces relevant context before a change repeats a past mistake
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Awesome Skills vs Stele: At a Glance
Pricing Comparison: Awesome Skills vs Stele
Understanding the pricing differences between Awesome Skills and Stele is crucial for making the right choice. Here's how their plans compare side by side.
Awesome Skills Pricing
💡 Pricing takeaway: Both Awesome Skills and Stele offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Awesome Skills and Stele stacks up.
What Makes Each Tool Unique
🔵 Unique to Awesome Skills
Features available in Awesome Skills but not in Stele:
- ✓Indexes open-source SKILL.md files published on GitHub
- ✓Install counts per skill so active ones are distinguishable from abandoned
- ✓Category and tag browsing plus full-text search
- ✓Links through to each skill's source repository before install
- ✓Covers Claude Code, OpenAI Codex, ChatGPT, Cursor, OpenCode, and Antigravity
- ✓Unlimited free downloads on the free tier
🟣 Unique to Stele
Features available in Stele but not in Awesome Skills:
- ✓Shared knowledge graph of decisions, lessons, risks, and tasks
- ✓Surfaces relevant context before a change repeats a past mistake
- ✓Atomic task claiming so two agent sessions never duplicate work
- ✓Works across Claude Code, Cursor, Codex, Antigravity, Copilot, OpenCode, Grok, and Kimi Code CLI
- ✓Three-command setup, then fully automatic
- ✓Full-text and semantic search with RAG on every tier
- ✓Scheduled knowledge review where an agent gardens the graph
- ✓Single binary for macOS, Linux, and Windows
Use Case Recommendations
Best for: Awesome Skills
Awesome Skills is a searchable marketplace for agent skills — the SKILL.md files that extend Claude Code, OpenAI Codex, ChatGPT, Cursor, OpenCode, and Antigravity. It indexes open-source skills published on GitHub, surfaces them by category and tag, and shows an install count per skill so you can tell an actively used skill from an abandoned one. Browsing the featured set gives a clear picture of what the format is used for in practice: agent-browser, a browser-automation CLI that lets an agent navigate pages, fill forms, click, screenshot, and scrape, at roughly 28,000 installs; web-design-guidelines, a UI and accessibility review pass, at about 24,700; find-skills, a meta-skill that helps an agent discover and install other skills when a user asks "is there a skill that can…", at about 13,300; content-research-writer for research-backed drafting with citations; planning-with-files, which implements file-based planning with task_plan.md and findings.md for tasks needing more than five tool calls; plus React and Remotion best-practice packs and a NotebookLM query skill. Every skill's source repository is linked, so you can read the SKILL.md before installing. The whole catalogue is free to download on the free tier; the $5/month tier is essentially a support subscription that adds early access, priority support, custom skill requests, and a planned API.
Ideal use cases:
- •Teams or individuals who need indexes open-source skill.md files published on github
- •Teams or individuals who need install counts per skill so active ones are distinguishable from abandoned
- •Teams or individuals who need category and tag browsing plus full-text search
- •Teams or individuals who need links through to each skill's source repository before install
- •Anyone focused on claude code workflows
- •Anyone focused on agent skills workflows
Best for: Stele
Stele is a shared project memory that every AI coding agent on a project reads before it acts and writes back to as it learns. It is a live ledger rather than a passive log — decisions, lessons, risks, and open tasks in one record, surfaced at the moment a change would repeat a past mistake. Three ideas hold it together. First, one living memory: architectural decisions and hard-won lessons live in the record, not in someone's head or a stale markdown file. Second, work the whole team can see: tasks belong to the project rather than a person, and agents claim them atomically so two sessions never start the same work, while a human operator can pick up the open queue and run it end to end. Third, continuity across tools: plan with one agent, build with another, switch when a quota fills, and Claude Code, Cursor, Codex, Antigravity, Copilot, OpenCode, Grok, and Kimi Code CLI all read the same knowledge graph — so the project's memory belongs to the team, not to whichever vendor you were using that week. Setup is three commands: one line installs the CLI, you sign in with your invited email, and you run /stele:start once inside your agent to wire it into the project and build the first record. After that it is automatic — you keep prompting exactly as you did before. It is invite-only beta as of July 2026, with a waitlist, and runs on macOS, Linux, and Windows from a single binary.
Ideal use cases:
- •Teams or individuals who need shared knowledge graph of decisions, lessons, risks, and tasks
- •Teams or individuals who need surfaces relevant context before a change repeats a past mistake
- •Teams or individuals who need atomic task claiming so two agent sessions never duplicate work
- •Teams or individuals who need works across claude code, cursor, codex, antigravity, copilot, opencode, grok, and kimi code cli
- •Anyone focused on agent memory workflows
- •Anyone focused on knowledge graph workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Awesome Skills and Stele aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
This page ranks for "Awesome Skills vs Stele" — buyers comparing the two land here, and ChatGPT and Perplexity cite it. Claim your listing for $19 one-time — no subscription, nothing to cancel — and get a Featured badge, top placement in your category, and a permanent dofollow backlink. Prefer it ongoing? Monthly is one click away on the next page.
Frequently Asked Questions
Is Awesome Skills better than Stele?
It depends on your needs. Awesome Skills offers 6 key features including Indexes open-source SKILL.md files published on GitHub and Install counts per skill so active ones are distinguishable from abandoned, while Stele provides 8 features including Shared knowledge graph of decisions, lessons, risks, and tasks and Surfaces relevant context before a change repeats a past mistake. Awesome Skills uses a freemium model with a free tier, while Stele is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Awesome Skills cheaper than Stele?
Awesome Skills is cheaper, starting at $5/month compared to Stele's $12/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Awesome Skills and Stele together?
Yes, many users combine Awesome Skills and Stele in their workflow. Awesome Skills excels at indexes open-source skill.md files published on github, while Stele shines with shared knowledge graph of decisions, lessons, risks, and tasks. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Awesome Skills and Stele?
While both are ai agent infrastructure tools, Awesome Skills emphasizes indexes open-source skill.md files published on github, whereas Stele is known for shared knowledge graph of decisions, lessons, risks, and tasks. The best choice depends on your specific workflow and feature priorities.
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