A self-learning skill layer for Claude Code that distills skills from your sessions, updates them in use and prunes the unused
Tigerless Labs
OrganizationGitHub (opens in a new tab)
The organization Tigerless Labs develops tools for AI agents focused on skill management, memory, and data analysis.
All cards
6 cardsShows what Claude Code and Codex actually send to the API: it captures local traffic and splits tokens and cost by source
CLIBroad access5.8KRepository stars
Long-term memory for AI agents: Markdown files as the source of truth, a SQLite index as a cache, shared by Claude Code, Codex and others
CLIExtended access4.3KRepository stars
SEO Ops
seo-ops
A check of a site's SEO foundation by URL like a crawler: a pass and fail report with evidence. A Claude Code plugin
PluginMinimal access989Repository stars
A skill that finds AI papers from 28 labs on arXiv over any date range and splits led papers from co-authored ones.
SkillExtended access224Repository stars
A skill that searches 15 channels for creators with their own audience, gathers public contacts and appends them to a Google Sheet
SkillBroad access223Repository stars
In short
Their offerings include AutoHarness, a self-learning skill layer for Claude Code, and agent-memory, a long-term memory system using Markdown and SQLite. They also provide cost-xray for API usage tracking, SEO Ops for website SEO evaluation, paper-radar for AI research discovery, and influencer-discovery for identifying content creators across multiple channels.
How to install
One command, using “AutoHarness” as an example. The SkillFoxx CLI detects the agent and puts the files in the right folder.
npx skillfoxx add plugins/autoharnessAccess of the author’s cards
- minimal1
- extended3
- broad2
Other authors
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