Cadenya
Paid
Developers building agentic workflows
Your agent hits a task it can't handle, and you spend twenty minutes digging through GitHub repos sorted by star count, hoping the one you pick isn't malware and actually does what the README claims — Skill Federation exists to replace that loop.
Skill Federation runs locally on your machine and connects to a catalog of over 100,000 vetted skills. When an agent hits a gap, it surfaces matches in milliseconds — each one license-checked, security-scanned, and provenance-tracked — then waits for your approval before installing into .claude/skills/. The benchmark evidence from the vendor is specific: a bare Claude Code agent solves 17.5% of SkillsBench tasks; with Skill Federation retrieving the top match, that climbs to 22.8%, roughly closing 27% of the gap to a hand-crafted ideal skill. The privacy boundary is narrow by design — only an abstract wish crosses the wire, never your code, plan, or outputs. The hard ceiling is integration breadth: Claude Code is supported, with Codex, Cursor, and Gemini listed as coming.
Bottom line: Pick this when your team is on Claude Code and spending real time vetting skills by hand; skip it if your stack runs Cursor or Codex today, because those integrations are not yet available.
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Paid
Developers building agentic workflows
Free · Open source
Long-term continuity in multi-session coding projects
When an agent encounters a task outside its built-in capabilities, Skill Federation intercepts the gap. The agent generates an abstract description of what it needs — a one-line wish plus a few keyword variations — and Skill Federation queries its catalog, returning ranked matches with license class, source provenance, and security scan results. You review the match and approve the install; the skill lands in .claude/skills/ and runs locally. Nothing about your actual work — no file contents, no plan, no reasoning trace — is transmitted.
The catalog ingestion pipeline is the differentiating detail. Skills are not fetched live from public repositories at install time. Each candidate is copied at ingestion, deduplicated, and scanned by two independent scanners including Cisco AI Defense before being promoted to the catalog. The source link shown is provenance information, not a live fetch path. This means your team pulls from a pre-scanned registry rather than from whatever HEAD currently looks like on a random public repo — a meaningful distinction when 1.7 million public skill files exist with no licensing or security guarantees.
Skill Federation fits teams where engineers are already downloading skills ad hoc and where that improvised process has no audit trail. The tool acts as an artifact registry for skills: one governed source of truth instead of individual copies scattered across local machines. The current integration ceiling is real — Claude Code is the documented supported environment, with additional integrations described as forthcoming. Teams running Cursor, Codex, or Gemini as their primary coding agent cannot use this today without workarounds outside the documented workflow.
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