Weekly Project Digests
thedotmack/claude-mem
Turns a project's claude-mem timeline into a week-by-week narrative, splitting it by ISO week and running one subagent per week that receives the prior week's carry-forward block.
Reduces token usage from paid providers by offloading work to local LM Studio models.
Install Lmstudio Subagents
$ npx skills add sundial-org/awesome-openclaw-skills --skill lmstudio-subagents -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills lmstudio-subagents --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lmstudio-subagents .claude/skills/lmstudio-subagents && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "lmstudio-subagents" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/lmstudio-subagents into .claude/skills/lmstudio-subagents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lmstudio-subagents", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/lmstudio-subagentsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sundial-org/awesome-openclaw-skills --skill lmstudio-subagents -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills lmstudio-subagents --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lmstudio-subagents .agents/skills/lmstudio-subagents && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lmstudio-subagents" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/lmstudio-subagents into .agents/skills/lmstudio-subagents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lmstudio-subagents", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sundial-org/awesome-openclaw-skills --skill lmstudio-subagents -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills lmstudio-subagents --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lmstudio-subagents .cursor/skills/lmstudio-subagents && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "lmstudio-subagents" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/lmstudio-subagents into .cursor/skills/lmstudio-subagents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lmstudio-subagents", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sundial-org/awesome-openclaw-skills.git --path skills/lmstudio-subagents--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sundial-org/awesome-openclaw-skills --skill lmstudio-subagents -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills lmstudio-subagents --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lmstudio-subagents .gemini/skills/lmstudio-subagents && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "lmstudio-subagents" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/lmstudio-subagents into .gemini/skills/lmstudio-subagents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lmstudio-subagents", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sundial-org/awesome-openclaw-skills lmstudio-subagentsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sundial-org/awesome-openclaw-skills --skill lmstudio-subagents -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lmstudio-subagents .github/skills/lmstudio-subagents && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "lmstudio-subagents" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/lmstudio-subagents into .github/skills/lmstudio-subagents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lmstudio-subagents", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sundial-org/awesome-openclaw-skills --skill lmstudio-subagents -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills lmstudio-subagents --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lmstudio-subagents .opencode/skills/lmstudio-subagents && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "lmstudio-subagents" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/lmstudio-subagents into .opencode/skills/lmstudio-subagents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lmstudio-subagents", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
lmstudio-subagents- GitHub stars
- 663
- Token cost
- ~1.2k tokens
- SKILL.md length
- 361 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- MIT
At a glance
Reduces token usage from paid providers by offloading work to local LM Studio models.
- Works in 7 steps: Preflight → List Models and Check Loaded → Model Selection → …
- Cutting costs—use local models for summarization
- SKILL.md covers Key Terms, Prerequisites, Complete Workflow and Error Handling, plus 3 more sections
- Runs JavaScript scripts from its folder
What it does
Lmstudio Subagents is an agent skill from sundial-org/awesome-openclaw-skills. Reduces token usage from paid providers by offloading work to local LM Studio models. Use when: (1) Cutting costs—use local models for summarization, extraction, classification, rewriting, first-pass review, brainstorming when quality suffices, (2) Avoiding paid API calls for high-volume or repetitive tasks, (3) No extra model configuration—JIT loading and REST API work with existing LM Studio setup, (4) Local-only or privacy-sensitive work. Requires LM Studio 0.4+ with server (default :1234). No CLI required.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `README.md`).
It sits in Agent Workflows, covering Brainstorming, Summarization and Subagents. The repository describes itself as: Top OpenClaw skills, with the most popular and useful ones. The licence is MIT.
When your agent uses it
- Cutting costs—use local models for summarization
- First-pass review
- Brainstorming when quality suffices
- Avoiding paid API calls for high-volume
Example prompts
- “Use the lmstudio-subagents skill to reduce token usage from paid providers by offloading work to local LM Studio models”
- “/lmstudio-subagents”
Requirements
- Node.js
Workflow steps
7 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit b80cde2. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (JavaScript), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Lmstudio Subagents loads about 1.2k tokens when it runs. Until then it costs about 134 tokens; SKILL.md has 361 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from sundial-org/awesome-openclaw-skills at commit b80cde2, republished under its MIT licence (© sundial-org). 361 words, ~1,171 tokens.
Download SKILL.mdSave it as
.claude/skills/lmstudio-subagents/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- lmstudio-subagents
- description
- Reduces token usage from paid providers by offloading work to local LM Studio models. Use when: (1) Cutting costs—use local models for summarization, extraction, classification, rewriting, first-pass review, brainstorming when quality suffices, (2) Avoiding paid API calls for high-volume or repetitive tasks, (3) No extra model configuration—JIT loading and REST API work with existing LM Studio setup, (4) Local-only or privacy-sensitive work. Requires LM Studio 0.4+ with server (default :1234). No CLI required.
- license
- MIT
LM Studio Models
Offload tasks to local models when quality suffices; avoid web/proprietary/high-stakes.
Key Terms
- model: From GET models key; use in chat and optional load.
- lm_studio_api_url: Default http://127.0.0.1:1234 (paths /api/v1/...).
- response_id / previous_response_id: Chat returns response_id; pass as previous_response_id for stateful.
- instance_id: loaded_instances[].id or model_instance_id; for unload.
Trigger in frontmatter; below = implementation.
Prerequisites
LM Studio 0.4+, server :1234, models on disk; load/unload via API (JIT optional); Node for script (curl ok).
Complete Workflow
Step 0: Preflight
GET <base>/api/v1/models; non-200 or connection error = server not ready.
exec command:"curl -s -o /dev/null -w '%{http_code}' -H 'Authorization: Bearer lmstudio' http://127.0.0.1:1234/api/v1/models"Step 1: List Models and Check Loaded
exec command:"curl -s -H 'Authorization: Bearer lmstudio' http://127.0.0.1:1234/api/v1/models"Parse models[] (key, type, loaded_instances, max_context_length, capabilities, params_string). If a model has loaded_instances.length > 0 and fits task, skip to Step 5; else pick key for chat (and optional load). Note loaded_instances[].id for optional unload.
Step 2: Model Selection
Pick key from GET response; use as model in chat (optional load). Constraints: vision -> capabilities.vision; embedding -> type=embedding; context -> max_context_length. Prefer loaded (loaded_instances non-empty), smaller for speed/larger for reasoning; fallback primary. Optional POST load; else JIT on first chat.
Step 3: Load Model (optional)
Optional: POST /api/v1/models/load { model, context_length?, ... }. JIT: first chat loads; explicit load only for specific options.
Step 4: Verify Loaded (optional)
If explicit load: GET models, confirm loaded_instances. If JIT: no verify; first chat returns model_instance_id, stats.model_load_time_seconds.
Show full SKILL.md (152 more words)Show less
Step 5: Call API
From the skill folder: node scripts/lmstudio-api.mjs <model> '<task>' [options].
exec command:"node scripts/lmstudio-api.mjs <model> '<task>' --temperature=0.7 --max-output-tokens=2000"Stateful: add --previous-response-id=<response_id>. Curl: POST <base>/api/v1/chat, body model, input, store, temperature, max_output_tokens; optional previous_response_id. Parse: output (type message) -> content; response_id, model_instance_id, stats. Script outputs content, model_instance_id, response_id, usage.
Step 6: Unload (optional)
Optional: POST /api/v1/models/unload { instance_id }. instance_id from loaded_instances[].id or chat model_instance_id. JIT+TTL auto-unload; explicit when needed.
exec command:"curl -s -X POST http://127.0.0.1:1234/api/v1/models/unload -H 'Content-Type: application/json' -H 'Authorization: Bearer lmstudio' -d '{\"instance_id\": \"<instance_id>\"}'"Error Handling
- Model not found -> pick another model from GET response.
- API/server errors -> GET models, check URL.
- Invalid output -> retry.
- Memory -> unload or smaller model.
- Unload fails -> instance_id must match loaded_instances[].id.
Examples
GET /api/v1/models, then script with model key and task. Optional unload per Step 6 (instance_id from response or GET).
exec command:"curl -s -H 'Authorization: Bearer lmstudio' http://127.0.0.1:1234/api/v1/models"
exec command:"node scripts/lmstudio-api.mjs meta-llama-3.1-8b-instruct 'Summarize and extract 5 key points' --temperature=0.7 --max-output-tokens=2000"LM Studio API Details
Helper/API: see Step 5. Output: content, model_instance_id, response_id, usage. Auth: Bearer lmstudio. List GET /api/v1/models. Load POST /api/v1/models/load (optional). Unload POST /api/v1/models/unload { instance_id }.
Notes
- LM Studio 0.4+.
- JIT (first chat loads; model_load_time_seconds in stats); stateful (response_id / previous_response_id).
© sundial-org, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts) in skills/lmstudio-subagents of sundial-org/awesome-openclaw-skills.
- SKILL.md
- README.md
- scripts/lmstudio-api.mjs
Open the folder on GitHubat commit b80cde2
Compare with similar skills
Lmstudio Subagents next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Lmstudio Subagents this skillsundial-org/awesome-openclaw-skills | 663 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Weekly Project Digeststhedotmack/claude-mem | 99k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| BrainstormAedelon/claude-code-blueprint | 120 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Round TableSoul-Brews-Studio/arra-oracle-skills-cli | 123 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Ideateav/mi | 102 | — | ~2.8k | Automated safety check: Pass | None | |
| Context Engineeringa5c-ai/babysitter | 1.8k | — | ~1.8k | Automated safety check: Notes | MIT |
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Related
Questions about Lmstudio Subagents
What does Lmstudio Subagents do?
Reduces token usage from paid providers by offloading work to local LM Studio models. Lmstudio Subagents is an agent skill from sundial-org/awesome-openclaw-skills. Reduces token usage from paid providers by offloading work to local LM Studio models.
When should I use Lmstudio Subagents?
Lmstudio Subagents fits situations like: cutting costs—use local models for summarization; first-pass review; brainstorming when quality suffices; avoiding paid API calls for high-volume.
How do I install Lmstudio Subagents in Claude Code?
Run `npx skills add sundial-org/awesome-openclaw-skills --skill lmstudio-subagents -a claude-code`. Or copy the skill folder (skills/lmstudio-subagents in sundial-org/awesome-openclaw-skills) into .claude/skills/lmstudio-subagents in your project. Claude Code loads it when a task matches its description.
How do I install Lmstudio Subagents in Codex?
Run `npx skills add sundial-org/awesome-openclaw-skills --skill lmstudio-subagents -a codex`. Or copy the skill folder (skills/lmstudio-subagents in sundial-org/awesome-openclaw-skills) into .agents/skills/lmstudio-subagents in your project. Codex loads it when a task matches its description.
Can I use Lmstudio Subagents in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sundial-org/awesome-openclaw-skills --skill lmstudio-subagents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lmstudio-subagents, .gemini/skills/lmstudio-subagents, .github/skills/lmstudio-subagents and .opencode/skills/lmstudio-subagents in your project.
What does Lmstudio Subagents need to run?
Going by SKILL.md and its folder, Lmstudio Subagents needs JavaScript for the scripts in its folder. Our summary lists: Node.js.
Does Lmstudio Subagents access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Lmstudio Subagents safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Lmstudio Subagents use?
Lmstudio Subagents is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Lmstudio Subagents use?
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Lmstudio Subagents?
Skills that share tags, products or a category with Lmstudio Subagents: Weekly Project Digests (thedotmack/claude-mem, 99k stars), Brainstorm (Aedelon/claude-code-blueprint, 120 stars), Round Table (Soul-Brews-Studio/arra-oracle-skills-cli, 123 stars) and Ideate (av/mi, 102 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lmstudio Subagents?
sundial-org (a GitHub organization) maintains it in sundial-org/awesome-openclaw-skills, which has 663 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on March 7, 2026.
Source: sundial-org/awesome-openclaw-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.