skillpot
Practical agent skills for building, researching, and presenting real work. Clear inputs, useful artifacts, explicit checks. In development
What XERJ indexed
Snapshot
The whole repository at commit 6689ef6eb6. It is the newest commit on main.
Selected work
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-28. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
agent-skillsai-agentsautomationmodepotworkflows
Example questions
- How does skillpot implement agent-skills?
- Show the ai-agents code in skillpot.
Inside the indexed corpus
- 247 files, 1.4 MB in total, about 5.8 KB per file.
- Languages by size: Python 50.7%, JavaScript 36.2%, Astro 7.8%, MDX 4.8%, TypeScript 0.5%.
- On GitHub since 2026-10-26, last push 2026-10-31, 26 commits on main.
Licence on GitHub and in the corpus
GitHub reported MIT for tugrulguner/skillpot on 2026-10-31, and the LICENSE file at commit 6689ef6eb6 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Tugrul Guner (@tugrulguner) has 7 selected repositories on the hub.
Their other repository pages: tugrulguner/intpot, tugrulguner/summonpot, tugrulguner/dexpot, tugrulguner/lifepot, tugrulguner/refpot, tugrulguner/utilitypot.
Using XERJ with skillpot
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- ripgrep vs a code index for coding agents: 30 tasks
- Best MCP servers for local code search in 2026, compared
- Best grep alternative for AI coding agents (2026)
The prompt
Paste it into your AI agent. It clones tugrulguner/skillpot at the pinned commit and indexes it on your machine.
Search the GitHub repository tugrulguner/skillpot with XERJ (https://hub.xerj.org/corpus/tugrulguner--skillpot). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/tugrulguner/skillpot skillpot && git -C skillpot checkout 6689ef6eb63eedc924763bcdec4f7c3910697261 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./skillpot --url http://127.0.0.1:9200 --prefix skillpot --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
Tugrul GunerAI, prompts and agents corporacalderaxobotyi--cc-foundry-the-workflow-claude-mdxobotyi--cc-foundry-open-sourceCruxExperts/LocalSetupshardulkulkarni14/honestapplyBorstwerk/KI-Regeln
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.