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By Mesh-LLM

25 skills found.
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#SkillRepositoryStarsUsed inTokensAuto-checkLicenceUpdated
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/mesh-llm3.5k—~2.6kAutomated safety check: PassApache-2.0today
2

A skill your agent uses when running, debugging, interpreting, or documenting mesh-llm benchmark tune model-serving throughput trials, including choosing…

Mesh-LLM/mesh-llm3.5k—~1.6kAutomated safety check: PassApache-2.0today
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/mesh-llm3.5k—~1.4kAutomated safety check: PassApache-2.0today
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/mesh-llm3.5k—~1.2kAutomated safety check: PassApache-2.0today
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/mesh-llm3.5k—~1.1kAutomated safety check: PassApache-2.0today
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/mesh-llm3.5k—~1.9kAutomated safety check: PassApache-2.0today
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/mesh-llm3.5k—~1.4kAutomated safety check: PassApache-2.0today
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/mesh-llm3.5k—~1.6kAutomated safety check: PassApache-2.0today
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/mesh-llm3.5k—~704Automated safety check: PassApache-2.0today
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/mesh-llm3.5k—~1.9kAutomated safety check: PassApache-2.0today
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/mesh-llm3.5k—~2.6kAutomated safety check: PassApache-2.0today
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/mesh-llm3.5k—~2kAutomated safety check: PassApache-2.0today
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/mesh-llm3.5k—~2.8kAutomated safety check: PassApache-2.0today
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/mesh-llm3.5k—~561Automated safety check: PassApache-2.0today
15

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/mesh-llm3.5k—~2.2kAutomated safety check: PassApache-2.0today
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/mesh-llm3.5k—~764Automated safety check: PassApache-2.0today
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/mesh-llm3.5k—~513Automated safety check: PassApache-2.0today
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/mesh-llm3.5k—~588Automated safety check: PassApache-2.0today
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/mesh-llm3.5k—~1.1kAutomated safety check: PassApache-2.0today
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/mesh-llm3.5k—~489Automated safety check: PassApache-2.0today
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/mesh-llm3.5k—~281Automated safety check: PassApache-2.0today
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/mesh-llm3.5k—~272Automated safety check: PassApache-2.0today
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/mesh-llm3.5k—~380Automated safety check: PassApache-2.0today
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/mesh-llm3.5k—~260Automated safety check: PassApache-2.0today
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/mesh-llm3.5k—~568Automated safety check: PassApache-2.0today