How do I install the Total Recall:llm Setup skill?

Run npx skillmds@latest add 88plug/total-recall-llm-setup in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Total Recall:llm Setup skill do?

One-time setup for total-recall's product-owned ollama — installs the managed binary if needed and pulls default models. Triggered when SessionStart reports product ollama / models missing. It is listed under AI & ML on SkillMD.

Is Total Recall:llm Setup safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Total Recall:llm Setup?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Total Recall:llm Setup free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Total Recall:llm Setup?

88plug (@88plug) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Total Recall:llm Setup by 88plug — Agent Skill

Name: Total Recall:llm Setup
Author: 88plug

File contents

total-recall LLM + embed setup

Runs the operator-facing setup script that installs product ollama (plugin data dir, daemon on :11435) and pulls:

refine model (default qwen3.5:2b) — chat refinement (provider default auto)
embed model (default qwen3-embedding:0.6b) — format-v2 hybrid dense recall

TOTAL_RECALL_EMBED_MODEL does not need to be set. Unset is correct — the plugin defaults to qwen3-embedding:0.6b. Do not set a HuggingFace id.

After setup succeeds and the product daemon is reachable with models present, SessionStart stops emitting the not-ready notice (and will not re-fire once shown once via .ollama_notice_shown).

Steps:

Run ${CLAUDE_PLUGIN_ROOT}/scripts/llm-setup.sh and stream its output to the operator. The script is idempotent — re-running on a fully-set-up machine is a no-op. Leave TOTAL_RECALL_EMBED_MODEL unset unless overriding with another ollama tag.
When it exits 0, confirm both models are ready and recommend /total-recall:recall-rebuild (or total-recall rebuild --yes) so the next rebuild picks up LLM refinement and dense vectors.
Only if the operator still has a leftover HuggingFace/fastembed id in env (e.g. TOTAL_RECALL_EMBED_MODEL=Alibaba-NLP/gte-modernbert-base from pre-v2), tell them to unset it. Fresh installs never need this step. Product MCP config does not pin an embed model.
If it exits non-zero, surface the error verbatim and point at docs/llm-refinement.md / docs/embeddings.md.

Frequently asked questions

Total Recall:llm Setup