local-analysis-offload

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Atualizado25 de julho de 2026 às 18:19

Plan privacy-first local AI/model offload for expensive elder-care casework analysis. Use for Qwen/GLM/Gemma-class local models, LM Studio/lms, LM Studio OpenAI-compatible API, Goose CLI, Ollama, llama.cpp, vLLM, local VLM/image analysis, OCR, ffmpeg, Whisper, Parakeet, diarization, transcript enrichment, and batch prompt planning. Defaults to plan-only until the user approves running jobs.

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

Fonte

mbeacom

mbeacom/elder-care-casework

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

SKILL.md

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name	local-analysis-offload
description	Plan privacy-first local AI/model offload for expensive elder-care casework analysis. Use for Qwen/GLM/Gemma-class local models, LM Studio/lms, LM Studio OpenAI-compatible API, Goose CLI, Ollama, llama.cpp, vLLM, local VLM/image analysis, OCR, ffmpeg, Whisper, Parakeet, diarization, transcript enrichment, and batch prompt planning. Defaults to plan-only until the user approves running jobs.
argument-hint	Workload, input paths, output root, candidate tools/models, plan-only or run, validation standard

Local Analysis Offload

This VS Code / Copilot skill wrapper points to the canonical Cowork / Claude Desktop plugin workflow.

Load these files

../../../elder-care-casework/skills/local-analysis-offload/SKILL.md
../../../elder-care-casework/skills/audio-transcript-review/LOCAL_AUDIO_OFFLOAD.md for audio/transcript work.
Any workload-specific canonical skill, such as ../../../elder-care-casework/skills/snf-records-review/SKILL.md or ../../../elder-care-casework/skills/audio-transcript-review/SKILL.md.

Use this wrapper when

The user wants to use local models or deterministic local tools before consuming main-agent context.
The task is expensive, repetitive, or privacy-sensitive: OCR/image labeling, transcript cleanup, speaker attribution, table extraction, first-pass tagging, or packet review triage.
The user mentions Qwen, GLM, Gemma, LM Studio, lms, LM Studio OpenAI-compatible API, Goose, Ollama, llama.cpp, vLLM, ffmpeg, Whisper, Parakeet, diarization, VLM, local image analysis, or GPU offload.

Default to plan-only. Do not run local tools or models until the user explicitly approves the run.

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Review and enrich elder-care audio transcripts from plan-of-care meetings, IDT calls, facility phone calls, voicemail, payer calls, JFS/ODM calls, or staff conversations. Supports local Whisper/Parakeet transcription outputs, speaker labeling/diarization reconciliation, timestamped statement attribution, casework evidence tagging, transcript-quality triage, and routing into admin logs, appeals, complaints, Medicaid disputes, legal-referral packets, and case-context ledgers.

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Create or update a durable elder-care case context ledger for long-running Medicare, Medicaid, SNF, facility, payer, and regulatory matters. Use when the user says "case memory", "case context", "update the case file", "track deadlines", "remember this for the appeal", "build a case ledger", or needs canonical facts, contacts, deadlines, document inventory, evidence register, open questions, and decision log across multiple skills and large record productions.

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Safely upgrade or migrate an existing elder-care case workspace created with an older plugin layout into the current privacy-first structure without losing source material. Use when the user says "upgrade my case project", "migrate old case folder", "move this case to the new layout", "prepare my existing case folder for this plugin", "don't lose existing findings", or needs a dry-run migration plan, checksums, backup manifest, case-context creation, and no-delete/no-overwrite transfer workflow before publishing or updating the plugin.

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Assemble a ready-to-send intake packet for an elder-law attorney, a legal-plan referral (MetLife Legal Plan, LegalShield), or the Area Agency on Aging's legal-services line. Reuses `*_Timeline.md`, `*_HotItems.md`, and `*_Findings.md` from the `/snf-review` pipeline. Tone is cooperative and attorney-facing — the audience is on the user's side. Produces a markdown packet (optionally .docx) whose first page is always a case-in-a-page summary, because attorneys triage on page one. Use when the user says "/legal-referral-intake-packet", "draft MetLife legal plan intake", "elder-law attorney intake", "AAA legal services referral", "assemble legal referral packet", or otherwise signals that it's time to hand the case over (or up) to a lawyer.

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name	local-analysis-offload
description	Plan privacy-first local AI/model offload for expensive elder-care casework analysis. Use for Qwen/GLM/Gemma-class local models, LM Studio/lms, LM Studio OpenAI-compatible API, Goose CLI, Ollama, llama.cpp, vLLM, local VLM/image analysis, OCR, ffmpeg, Whisper, Parakeet, diarization, transcript enrichment, and batch prompt planning. Defaults to plan-only until the user approves running jobs.
argument-hint	Workload, input paths, output root, candidate tools/models, plan-only or run, validation standard

Local Analysis Offload

This VS Code / Copilot skill wrapper points to the canonical Cowork / Claude Desktop plugin workflow.

Load these files

../../../elder-care-casework/skills/local-analysis-offload/SKILL.md
../../../elder-care-casework/skills/audio-transcript-review/LOCAL_AUDIO_OFFLOAD.md for audio/transcript work.
Any workload-specific canonical skill, such as ../../../elder-care-casework/skills/snf-records-review/SKILL.md or ../../../elder-care-casework/skills/audio-transcript-review/SKILL.md.

Use this wrapper when

The user wants to use local models or deterministic local tools before consuming main-agent context.
The task is expensive, repetitive, or privacy-sensitive: OCR/image labeling, transcript cleanup, speaker attribution, table extraction, first-pass tagging, or packet review triage.
The user mentions Qwen, GLM, Gemma, LM Studio, lms, LM Studio OpenAI-compatible API, Goose, Ollama, llama.cpp, vLLM, ffmpeg, Whisper, Parakeet, diarization, VLM, local image analysis, or GPU offload.

Default to plan-only. Do not run local tools or models until the user explicitly approves the run.