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このリポジトリの skills
SkillsMP は jluo41/Tools から 184 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
jluo41/Tools収集済み skill 184 件中 24 件を表示しています。
LLM-as-judge evaluator for prediction-interpretation Reports: consumes the report.json from haipipe-individual-inference-report and scores it against a rubric persona via claude_agent_sdk. Each persona defines its own rubric dimensions, scoring rules, and…
原文の言語: 英語
Per-individual prediction-interpretation report: loads one individual's data + recent CGM, hits the deployed prediction endpoint, then asks Claude (via claude_agent_sdk) to compose a dual-layer Report -- structured JSON + natural-language text -- for an…
原文の言語: 英語
Per-individual endpoint inference test: loads one individual from _WorkSpace/A-User-Store, builds an Endpoint_Set dataframe_records payload, POSTs it to a deployed endpoint (local FastAPI / Databricks / SageMaker -- same wire contract), and prints the…
原文の言語: 英語
Per-individual data contract skill: builds/manages a single-individual slice of the pipeline at stages 0-2 (RawDataStore, SourceStore, RecStore) under _WorkSpace/A-User-Store/UserGroup-{dataset}/Subject-{id}. Use to create, inspect, or clean per-individual…
原文の言語: 英語
individual-query task-folder specialist: scaffolds {NN}_<name>/ task-folders in the individual task-group (default E-series) that query/visualize ONE individual's data (CGM trace, meal timeline, treatment events) -> results/<run>/{plot.pdf, table.csv}. Called…
原文の言語: 英語
model-fitting task-folder specialist: scaffolds {NN}_<name>/ task-folders that fit/train a model (full hyperparam config, real GPU sweep, checkpoint to _WorkSpace/5-ModelInstanceStore/). NOT algorithm dev -- see /haipipe-task-for-algo. Called by /haipipe-task…
原文の言語: 英語
evaluation task-folder specialist: scaffolds {NN}_<name>/ task-folders in the eval task-group (default B-series) that score a trained model against an AIData split -> results/<run>/metrics.json. Called by /haipipe-task when task-type=eval. Cross-references…
原文の言語: 英語
Unified Stata-engine task-folder specialist: handles all 4 stages internally (cms/case/data/reg), owns the Stata engine contract, the {LNN} stage-letter alphabet, and stage disambiguation. Also a SERVER CHECK mode for the CMS secure server. Called by…
原文の言語: 英語
agent task-folder specialist: scaffolds {NN}_<name>/ task-folders in the agent task-group (default F-series) that call an LLM agent with prompts + tools -> results/<run>/{transcript.json, summary.md}. Called by /haipipe-task when task-type=agent. Engine:…
原文の言語: 英語
Owns code/haiutils/llm_engine/ -- the unified LLM call runtime for agent task-folders. Two OAuth transports (Claude Agent SDK + Codex OAuth) with API-key fallback. On trigger: CHECK the deployed code exists, CREATE from ref/engine/ if missing, EVALUATE if…
原文の言語: 英語
IPO workflow designer + builder + reporter — the basic orchestration unit of haipipe-toolkit: it defines the shared shape (Input → Process[Steps] → Output) and lifecycle (Plan → Build → Execute → Report) that every skill instantiates. Trigger: workflow, plan…
原文の言語: 英語
JHU Research-IT helpdesk chatbot. Answers how-to and where-is questions about Johns Hopkins research IT infrastructure by reading the local WIKI/ knowledge base, then giving a short grounded answer with the source page and link. Covers PMAP (Precision…
原文の言語: 英語
The clinician-driven inference console — the default inlab-human mode. Patient-first flow in the Claude Code chat: pick a patient from the patient store, see their full chart, list the available prediction models (live Endpoint_Set endpoints), run 'this model…
原文の言語: 英語
In-lab human interaction with deployed prediction endpoints — the Claude Code chat is the UI. Tier-1 orchestrator with two modes: CONSOLE (default; patient-first on-demand inference: pick patient → see chart → list models → predict via the endpoint-predict…
原文の言語: 英語
Freeze a review_bundle.json for an in-lab reading session: sample de-identified cases, score each via the endpoint-predict tool (live endpoint, deterministic), add narrator-agent explanations, validate schema invariants, freeze. v0.1 source mode: the…
原文の言語: 英語
Score an in-lab reading session: join responses.jsonl with the bundle's gold outcomes and compute model accuracy on the sample, clinician blind-vs-assisted accuracy, decision-influence split by model correctness (healthy reliance vs over-reliance — the safety…
原文の言語: 英語
Run the in-lab clinician reading session in the Claude Code chat: blind pass (raw case data only → clinician's risk estimate, decision, confidence), reveal (model score + explanation), assisted pass (re-estimate + rate score and explanation SEPARATELY),…
原文の言語: 英語
Databricks-specific lessons and knowledge base. 13 hard-won lessons from the REACH-ADHD deployment (VM stockout, init scripts, env vars, pandas compatibility, partition mismatches, MLflow signatures, Model Serving payload routing, CLI auth) plus the full…
原文の言語: 英語
Given an audio file, split into sentence chunks, run Azure pronunciation assessment, clip ALL words with timestamps, generate TTS for weak words, call Claude for confusion/Chinese analysis, and output an Obsidian-friendly markdown report with clickable audio.…
原文の言語: 英語
Azure + Databricks infrastructure knowledge base. Wiki of core concepts (subscription, IAM, quota, workspace, cluster, Unity Catalog, volumes, notebooks, model serving, user management, cost control), hard-won lessons (gotchas to check BEFORE acting), and an…
原文の言語: 英語
Indexes MS365 Outlook email in two modes: monthly-index writes a full-month markdown index, and recent-window summarizes the last N days for chronicle-day-plan. Use for /chronicle-email, chronicle emails, last week's emails, or summarize this week's inbox.
原文の言語: 英語
Morning my-task planner. Pulls yesterday's takeaways, overnight emails, and git state as PROMPTS; then walks the user through 3 my-task buckets (paper/project, agent/skill, relationship/career) with sharp Socratic questions; synthesizes today's plan as…
原文の言語: 英語
Roll up a day's session .txt files in ~/Daily/<date>/ into one Excalidraw canvas, then mark the day closed and sync to git. Triggered by a 22:00 cron OR on demand. Idempotent — re-running on a closed day is a no-op. After close, new sessions automatically…
原文の言語: 英語
Log the current Claude Code session as a concise YYMMDD-HHMM-<slug>.txt under ~/Daily/YYYY-MM-DD/, then sync to the private jluo41/Daily git repo (pull --rebase → commit → push). Use when a working session ends OR on the user's explicit "log this session"…
原文の言語: 英語