Repository
Mesh-LLM/mesh-llm agent skills
- skills
- 25
- GitHub stars
- 3.5k
GitHub description: “Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat.”
- Stars
- 3,485 (432 forks)
- Licence
- Apache-2.0
- Last push
- Oct 2026
- Created
- Feb 2026
- Homepage
- meshllm.cloud
- agents
- ai
- decentralized
- distributed
- llm
Install all skills
npx skills add Mesh-LLM/mesh-llmAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in Mesh-LLM/mesh-llm, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses when validating a MeshLLM release candidate or current HEAD against the last GitHub release, assembling the canonical feature/fix/modification inventory, testing locally… | Mesh-LLM/ | 3.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 2 | A skill your agent uses when running, debugging, interpreting, or documenting mesh-llm benchmark tune model-serving throughput trials, including choosing… | Mesh-LLM/ | 3.5k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 3 | A skill your agent uses when adding, renaming, removing, validating, or exposing mesh-llm config settings, including built-in settings, plugin config schemas, owner-control apply behavior, CLI… | Mesh-LLM/ | 3.5k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 4 | A skill your agent uses when connecting agent tools or OpenAI clients to mesh-llm — launching or configuring Goose, Claude Code, OpenCode, Pi, curl, or any OpenAI-compatible client against a local… | Mesh-LLM/ | 3.5k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 5 | A skill your agent uses when converting Hugging Face SafeTensors checkpoints into split BF16 GGUF model repos with skippy-quantize on Hugging Face Jobs or a local machine, then publishing the… | Mesh-LLM/ | 3.5k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 6 | A skill your agent uses when creating, monitoring, validating, or documenting low-memory Hugging Face Jobs or local runs that quantize split BF16/FP16 GGUF model repos into custom quant GGUF repos… | Mesh-LLM/ | 3.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 7 | A skill your agent uses when changing mesh-llm automation or CLI flows that discover Hugging Face GGUF models, plan CPU Hugging Face Jobs for layer-package splitting, estimate max cost, or publish… | Mesh-LLM/ | 3.5k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 8 | A skill your agent uses when running quantization of a BF16/FP16 GGUF repo and Skippy layer-package creation as one local or Hugging Face Jobs workflow, publishing both artifacts to Hugging Face. | Mesh-LLM/ | 3.5k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 9 | A skill your agent uses when certifying mesh-llm KV/cache stability under repeated OpenAI tool-call loops, same-prefix cache reuse, suffix-prefill limits, or native Skippy slot/decode/eviction… | Mesh-LLM/ | 3.5k | — | ~704 | Automated safety check: Pass | Apache-2.0 | today |
| 10 | A skill your agent uses when changing mesh-llm's llama.cpp patch queue, upstream pin, prepare/build scripts, or carried RPC, MoE, and mesh-hook llama.cpp patches. | Mesh-LLM/ | 3.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 11 | A skill your agent uses when changing mesh-llm's patched llama.cpp Skippy ABI, runtime hooks, model introspection, tensor filtering, activation-frame execution, GGUF writer surface, upstream pin, or… | Mesh-LLM/ | 3.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 12 | A skill your agent uses when maintaining the plugin web UI projection contract, docs, exemplar coverage, or recovery flow for mesh-llm plugin web UI work. | Mesh-LLM/ | 3.5k | — | ~2k | Automated safety check: Pass | Apache-2.0 | today |
| 13 | A skill your agent uses when rewriting, reformatting, or reviewing the notes on a published MeshLLM GitHub release, including the automatic release-notes regrouping job, its deterministic… | Mesh-LLM/ | 3.5k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | today |
| 14 | A skill your agent uses when starting, supervising, debugging, holding open, or stopping any remote process over SSH that needs an operator-like interactive environment, a TTY, login-shell startup… | Mesh-LLM/ | 3.5k | — | ~561 | Automated safety check: Pass | Apache-2.0 | today |
| 15 | 15.Skippy Bench A skill your agent uses when running benchmark orchestration, local single-stage or split benchmarks, benchmark report flow, or performance-oriented skippy runtime checks. | Mesh-LLM/ | 3.5k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | today |
| 16 | A skill your agent uses when benchmarking Skippy exact-prefix cache across model families, comparing Skippy against llama-server, producing README benchmark tables, updating… | Mesh-LLM/ | 3.5k | — | ~764 | Automated safety check: Pass | Apache-2.0 | today |
| 17 | A skill your agent uses when validating skippy staged execution against full-model execution, adding model families, changing split boundaries, testing activation wire dtypes, or diagnosing mismatch… | Mesh-LLM/ | 3.5k | — | ~513 | Automated safety check: Pass | Apache-2.0 | today |
| 18 | A skill your agent uses when inspecting GGUF models, planning layer ranges, generating or validating skippy package artifacts, fake packages for direct GGUFs, materialized stage cache behavior, or… | Mesh-LLM/ | 3.5k | — | ~588 | Automated safety check: Pass | Apache-2.0 | today |
| 19 | A skill your agent uses when running or debugging interactive Skippy prompts against staged serving, including lab sync, native builds, stage startup, the HTTP prompt REPL, and process lifecycle. | Mesh-LLM/ | 3.5k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 20 | A skill your agent uses when adding, renaming, removing, or reviewing mesh-llm OTLP metrics, telemetry attributes, metrics exporter settings, or telemetry documentation. | Mesh-LLM/ | 3.5k | — | ~489 | Automated safety check: Pass | Apache-2.0 | today |
| 21 | A skill your agent uses when working on benchmark telemetry ingest, metrics-server run lifecycle, OTLP collection, SQLite storage, benchmark report export, or separating telemetry/reporting… | Mesh-LLM/ | 3.5k | — | ~281 | Automated safety check: Pass | Apache-2.0 | today |
| 22 | A skill your agent uses when working on skippy telemetry attributes, OTLP emission, benchmark metric names, runtime lifecycle telemetry, or separating telemetry/reporting ownership from stage… | Mesh-LLM/ | 3.5k | — | ~272 | Automated safety check: Pass | Apache-2.0 | today |
| 23 | A skill your agent uses when running, configuring, debugging, or embedding skippy-serving, binary stage transport, OpenAI frontend integration, activation wire dtype settings, stage configs… | Mesh-LLM/ | 3.5k | — | ~380 | Automated safety check: Pass | Apache-2.0 | today |
| 24 | A skill your agent uses when testing or benchmarking target/draft GGUF pairs for speculative decoding compatibility, tokenizer agreement, draft acceptance rate, or staged verification behavior. | Mesh-LLM/ | 3.5k | — | ~260 | Automated safety check: Pass | Apache-2.0 | today |
| 25 | A skill your agent uses when certifying a GGUF model family for skippy stage-split serving, reviewing capability data, promoting family evidence into topology policy, or updating staged split… | Mesh-LLM/ | 3.5k | — | ~568 | Automated safety check: Pass | Apache-2.0 | today |
Questions, answered from the data.
What is the best skill in Mesh-LLM/mesh-llm?
Release Validation from Mesh-LLM/mesh-llm ranks first of the 25 skills in Mesh-LLM/mesh-llm listed here, with the highest score: its repository has 3.5k GitHub stars, its SKILL.md loads about 2.6k tokens and it passes the automated safety check with no findings. Next come Benchmark Tune and Config Settings Management.
Are the skills in Mesh-LLM/mesh-llm official?
None yet. All 25 skills in Mesh-LLM/mesh-llm listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from Mesh-LLM/mesh-llm?
Run npx skills add Mesh-LLM/mesh-llm in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.