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By Mesh-LLM
Skills
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| # | 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 |