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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Check Kiln's fine-tunable model list for deprecated or unsupported base models. | Kiln-AI/ | 5.2k | — | ~1.9k | Automated safety check: Notes | Unknown | yesterday |
| 2 | Procedures for changing the model, restarting and quietly tuning a live Hermes gateway that serves end-users on messaging platforms such as Telegram. | hewi333/ | 122 | — | ~2k | Automated safety check: Warn | MIT | 1 mo ago |
| 3 | Select, integrate, and operate multi-model image-generation gateways with model-specific schema discovery, version policy, asynchronous jobs, webhooks, spend approval, safe inputs and artifacts… | calesthio/ | 197 | — | ~20k | Automated safety check: Pass | MIT | 2 mo ago |
| 4 | Gate Together AI client, batch, fine-tuning, and deployment changes with offline contract tests plus a protected bounded live lane. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 5 | Analyze and diagnose Together AI authentication, billing, request, model, throttling, overload, batch, fine-tuning, and endpoint failures from redacted evidence. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 6 | Prepare, submit, monitor, and disposition a Together AI fine-tuning job using SDK v2, validated training data, explicit cost approval, and separate deployment verification. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 7 | Run Together AI asynchronous batch inference from validated JSONL through upload, job polling, output/error download, and custom-id reconciliation. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 8 | Reduce Together AI spend using measured token usage, live per-model prices, cached-input evidence, batch discounts, model evaluation, and dedicated break-even analysis. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 9 | Deploy and roll back Together AI integrations across serverless inference or v2 Dedicated Model Inference with secret injection, health probes, traffic control, and cost shutdown. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 10 | Build a bounded Together AI chat-completion probe with a current model selected from the live catalog, optional streaming, usage capture, and redacted evidence. | jeremylongshore/ | 2.8k | — | ~961 | Automated safety check: Pass | MIT | yesterday |
| 11 | Install Together AI SDK v2 and configure a project-scoped API key with least-privilege storage and a read-only model-list verification. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Notes | MIT | yesterday |
| 12 | Develop Together AI integrations with a fake transport, recorded response shapes, deterministic assertions, and an opt-in bounded live probe. | jeremylongshore/ | 2.8k | — | ~966 | Automated safety check: Pass | MIT | yesterday |
| 13 | Review a Together AI production release across model policy, auth, data controls, dynamic limits, retries, observability, cost, deprecations, asynchronous recovery, and rollback. | jeremylongshore/ | 2.8k | — | ~981 | Automated safety check: Pass | MIT | yesterday |
| 14 | Analyze and control Together AI serverless concurrency from dynamic per-model request/token headers, bounded queues, jittered retries, and batch or dedicated alternatives. | jeremylongshore/ | 2.8k | — | ~986 | Automated safety check: Pass | MIT | yesterday |
| 15 | Design 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. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 16 | Encapsulate Together AI SDK v2 behind a typed adapter with catalog-resolved models, bounded retries, streaming normalization, usage capture, and OpenAI-compatible migration seams. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 17 | Secure Together AI integrations with project-scoped keys, environment isolation, prompt/output data controls, bounded model behavior, safe logging, rotation, and incident response. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 18 | Migrate Together AI Python SDK v1, OpenAI-compatible clients, deprecated models, or legacy dedicated endpoints with inventory, contract tests, canaries, and rollback. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 19 | Convert Together AI batch, fine-tuning, upload, and dedicated-deployment job states into idempotent internal events using bounded polling and an optional owned callback. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 20 | A skill your agent uses when calling open-weight LLMs on Together AI or Fireworks AI's OpenAI-compatible endpoints — baseurl plus namespaced model id, the cheapest model that clears the bar… | ericrisco/ | 180 | — | ~3.3k | Automated safety check: Pass | MIT | yesterday |