tonone
claude23-agent engineering + product team with 125 skills for Claude Code
49 skills · 100 agents · hooks
Source-grounded operator workflows for Together AI inference, batch, fine-tuning, v2 Dedicated Model Inference, security, cost, and production operations
Plugin together-pack from marketplace claude-code-plugins-plus in jeremylongshore/tons-of-skills-marketplace. Commands read from the repo's manifest — 6 days ago.
together-ci-integrationGate Together AI client, batch, fine-tuning, and deployment changes with offline contract tests plus a protected bounded live lane. Use when adding CI for a Together-backed repository. Trigger with "Together CI", "test Together integration", or "Together contract tests".
together-common-errorsAnalyze and diagnose Together AI authentication, billing, request, model, throttling, overload, batch, fine-tuning, and endpoint failures from redacted evidence. Use when a Together integration fails or behaves inconsistently. Trigger with "Together error", "Together 429", or "Together model not fou
together-core-workflow-aPrepare, submit, monitor, and disposition a Together AI fine-tuning job using SDK v2, validated training data, explicit cost approval, and separate deployment verification. Use when adapting a model to custom examples or preferences. Trigger with "Together fine-tune", "train a Together model", or "T
together-core-workflow-bRun Together AI asynchronous batch inference from validated JSONL through upload, job polling, output/error download, and custom-id reconciliation. Use when bulk work can trade latency for lower cost. Trigger with "Together batch inference", "bulk Together requests", or "Together Batch API".
together-cost-tuningReduce Together AI spend using measured token usage, live per-model prices, cached-input evidence, batch discounts, model evaluation, and dedicated break-even analysis. Use when forecasting or optimizing Together workloads. Trigger with "Together cost", "optimize Together spend", or "Together batch
together-deploy-integrationDeploy and roll back Together AI integrations across serverless inference or v2 Dedicated Model Inference with secret injection, health probes, traffic control, and cost shutdown. Use when releasing Together-backed services or dedicated models. Trigger with "deploy Together", "Together dedicated end
together-hello-worldBuild a bounded Together AI chat-completion probe with a current model selected from the live catalog, optional streaming, usage capture, and redacted evidence. Use when proving a new inference connection. Trigger with "Together hello world", "first Together request", or "stream Together chat".
together-install-authInstall Together AI SDK v2 and configure a project-scoped API key with least-privilege storage and a read-only model-list verification. Use when connecting a service or workstation to Together AI. Trigger with "Together auth", "install Together SDK", or "TOGETHER_API_KEY setup".
together-local-dev-loopDevelop Together AI integrations with a fake transport, recorded response shapes, deterministic assertions, and an opt-in bounded live probe. Use when iterating without spending tokens on every test. Trigger with "Together local dev", "mock Together API", or "test Together client".
together-prod-checklistReview a Together AI production release across model policy, auth, data controls, dynamic limits, retries, observability, cost, deprecations, asynchronous recovery, and rollback. Use when reviewing go-live or a material model change. Trigger with "Together production checklist", "Together go live",
together-rate-limitsAnalyze and control Together AI serverless concurrency from dynamic per-model request/token headers, bounded queues, jittered retries, and batch or dedicated alternatives. Use when preventing throttling or sizing inference traffic. Trigger with "Together rate limit", "Together 429", or "Together con
together-reference-architectureDesign a production Together AI service with a typed provider boundary, policy-based model routing, serverless and dedicated lanes, batch workers, telemetry, budgets, and reversible degradation. Use when defining the integration topology. Trigger with "Together architecture", "Together model gateway
together-sdk-patternsEncapsulate Together AI SDK v2 behind a typed adapter with catalog-resolved models, bounded retries, streaming normalization, usage capture, and OpenAI-compatible migration seams. Use when building a reusable Together client layer. Trigger with "Together SDK pattern", "Together client wrapper", or "
together-security-basicsSecure Together AI integrations with project-scoped keys, environment isolation, prompt/output data controls, bounded model behavior, safe logging, rotation, and incident response. Use when threat-modeling or hardening Together usage. Trigger with "Together security", "protect Together API key", or
together-upgrade-migrationMigrate Together AI Python SDK v1, OpenAI-compatible clients, deprecated models, or legacy dedicated endpoints with inventory, contract tests, canaries, and rollback. Use when upgrading Together dependencies or provider resources. Trigger with "upgrade Together SDK", "Together model migration", or "
together-webhooks-eventsConvert Together AI batch, fine-tuning, upload, and dedicated-deployment job states into idempotent internal events using bounded polling and an optional owned callback. Use when integrating asynchronous Together work. Trigger with "Together job events", "Together callback", or "poll Together status
23-agent engineering + product team with 125 skills for Claude Code
49 skills · 100 agents · hooks
Multi-agent orchestration system with 51 specialized agents for development workflows, code quality, deployment, research, games, and more. Includes orchestrators for checkpoint, deploy, quality, fullstack, research, games, corpus, web, and python workflows.
51 agents
Point it at a GitHub issue and get back a reviewed pull request. Hyperflow turns one AI coding session into a structured engineering pipeline: plan sharpens and decomposes the work, dispatch fans out parallel workers, and a domain specialist reviews every step — nothing ships unreviewed. 18 skills, 22 specialist reviewer and investigator agents, adaptive depth so a 5-line fix never triggers a deep run, and persistent per-project memory that lives in your repo and never leaves it. Runs on whatever model your session already uses — zero config, no API keys, no daemon. Works across Claude Code, Codex App/CLI, OpenCode, Grok, Antigravity, and Cursor.
18 skills · 23 agents · hooks
Claude Code skill pack for Shopify (38 skills covering e-commerce development, storefront APIs, and app integration)
38 skills
LangChain 1.0 + LangGraph 1.0 skill pack for Python. Pain-first skills anchored to a 68-entry pain catalog covering content blocks, streaming token accounting, structured-output, vector stores, checkpointing, HITL, middleware, Deep Agents, and native OTEL. Includes 33 skills across four epics.
33 skills
Claude Code skill pack for building with the Claude API and Anthropic SDK.
32 skills
RuVLLM local inference with chat formatting, MicroLoRA fine-tuning, and SONA adaptation
3 skills · 1 command · 1 agent
Build high-quality datasets and computer vision models. Visualize datasets, analyze models, find duplicates, run inference, evaluate predictions, and develop custom plugins.
18 skills · 2 commands · 1 MCP server
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
Answer questions about past agent runs from the recording, not from memory. Three read-only stdlib scripts over the session transcripts Claude Code and Codex already write: a finder that locates the run by repo, time window, touched file or command text; a timeline that numbers every step with its exit code, lists every file changed (flagging changes the agent never mentioned) and walks back from any step with each causal edge labelled recorded or inferred by a named rule; and a claim checker that tests a summary's claims (ran, passed, edited, not-edited, read) against the run and catches tests that passed before a later edit and exit codes that belong to the last command of a pipe. Secrets are always redacted. A UserPromptSubmit hook gives the agent this session's transcript path when a prompt asks about past work. Ships cs-run-forensics agent, /cs-run-forensics and /cs-check-claims commands and 3 cited references.
1 skill · 2 commands · 1 agent · hooks
Model optimization and quantization including Flash Attention, bitsandbytes, GPTQ, AWQ, GGUF, and HQQ. Use when reducing memory, accelerating inference, or quantizing models.
98 skills
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations (Claude Code Action, Gemini CLI, OpenAI Codex, GitHub AI Inference)
1 skill
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