yahya lendani
yahya lendani's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.
Totals across every corpus @YahyaLendani appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.
What an agent can do with the opus-tuner-claude-skill corpus
YahyaLendani/opus-tuner-claude-skill: Cost control for long Claude Code sessions on Windows, macOS and Linux: tiered context ceilings, a blocking handoff gate, and effort gears
- Look up how opus-tuner-claude-skill implements claude, claude-code, context-window, with answers cited to file and line.
- Answer from opus-tuner-claude-skill's real source instead of memory (AI, prompts and agents).
- How does opus-tuner-claude-skill implement claude?
Search the GitHub repository YahyaLendani/opus-tuner-claude-skill with XERJ (https://hub.xerj.org/corpus/yahyalendani--opus-tuner-claude-skill). 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/YahyaLendani/opus-tuner-claude-skill opus-tuner-claude-skill && git -C opus-tuner-claude-skill checkout 1653efcb3d32ac3fc5ed102ab6c73f1f69987447 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./opus-tuner-claude-skill --url http://127.0.0.1:9200 --prefix opus-tuner-claude-skill --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.
corpus yahyalendani--opus-tuner-claude-skill · AI, prompts and agents
Related corpora: xobotyi--cc-foundry-the-workflow-debrief, xobotyi--cc-foundry-python, Sagargupta16/claude-cost-optimizer, ehzawad/codex-council
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
YahyaLendani/opus-tuner-claude-skill
Cost control for long Claude Code sessions on Windows, macOS and Linux: tiered context ceilings, a blocking handoff gate, and effort gears
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
YahyaLendani/motionbrief-claude-skills
A Claude Code skill for motion graphics from a brief your agent can't drift from: validated brief.json, a build checked against it before render, HyperFrames or Remotion, beat-grid music
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
YahyaLendani/heart-disease-clinical-ml
Trustworthy Deep Learning, Graph Neural Networks, Conformal Triage, and Causal Recourse for Cardiovascular Risk & MIMIC-IV Mortality Prediction
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/YahyaLendani)
Added by @YahyaLendani on hub.xerj.org after signing in with GitHub (2026-10-30), under each repository's own licence, with attribution. Own more repositories? Sign in with GitHub and add them. Want something removed? Withdraw it on the same page or open an issue on xerj-org/xerj.