--- name: together-prod-checklist-e6395ffc8828 description: >- Review 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", or "Together readiness review". argument-hint: "[repository-path] [environment] [model-or-endpoint]" allowed-tools: Read, Glob, Grep, WebFetch, Write, Edit version: 1.9.0 author: Jeremy Longshore license: MIT tags: - saas - together-ai - production-readiness model: inherit effort: high compatibility: Designed for Claude Code; verification may require deployment, telemetry, billing, and Together project access --- # Together AI Production Checklist ## Overview This skill produces a release decision backed by current provider, application, security, reliability, quality, and cost evidence. ## Prerequisites - A pinned release artifact and environment configuration - Model/endpoint quality, latency, availability, and cost thresholds - Secret, data handling, monitoring, incident, and rollback owners - Current Together model, limit, pricing, and deprecation evidence ## Tool Discipline Use `Read`, `Glob`, and `Grep` to inspect configuration, model policy, retry logic, tests, and runbooks. Use `WebFetch` for current Together contracts. Use `Write` or `Edit` only for approved remediation or the release record. ## Current Contract - Resolve model IDs and deprecation status at review time; do not trust an old README. - Read dynamic limit headers and bound concurrency, tokens, retries, and queues. - Separate serverless, batch, fine-tuning, and dedicated failure/recovery paths. - Dedicated replicas require explicit cost shutdown; batches require output/error reconciliation. ## Authentication Verify environment-specific project keys, secret-manager injection, rotation/revocation, fork isolation, and log redaction. Never prove readiness by displaying a credential or authorization header. ## Instructions 1. Pin artifact, SDK major, configuration, model policy, and environment identity. 2. Verify authentication, data classification, redaction, retention, and tenant isolation. 3. Run offline tests and a bounded live canary for response shape, latency, quality, usage, and limits. 4. Exercise `401`, `402`, `404`, `429`, `503`, timeout, partial batch, and model-deprecation paths. 5. Reconcile spend forecasts with billing analytics and confirm alerts and dedicated teardown. 6. Execute rollback/degradation evidence, assign all exceptions, and issue go, conditional-go, or no-go. ## Approval Boundaries Do not waive a failed security, quality, cost, or recovery control. Conditional approval must name the owner, deadline, monitoring, and rollback trigger. ## Output Return a control-by-control evidence matrix, exceptions, owners, current-provider snapshot, rollback result, cost state, and release verdict. ## Error Handling | Condition | Response | |---|---| | Model is deprecated or redirected | Re-evaluate behavior and migrate before go-live. | | Live probe cannot run | Do not report it passed; issue an explicit exception or no-go. | | Cost/usage is unreconciled | Block capacity changes and assign the billing owner. | | Rollback fails | No-go until a recoverable path is proven. | ## Examples The example below shows the minimum redacted evidence expected from a successful invocation of this operator workflow. ```text artifact=pinned; auth=pass; model=current; limits=measured; rollback=pass; verdict=go ``` ## Resources - [Skill-specific official documentation](references/official-docs.md) - [Deprecations](https://docs.together.ai/docs/deprecations) - [Dynamic rate limits](https://docs.together.ai/docs/serverless/rate-limits) - [Error codes](https://docs.together.ai/docs/error-codes) --- Source attribution: jeremylongshore Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/together-pack/skills/together-prod-checklist/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2025 Jeremy Longshore Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: jeremylongshore Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/together-pack/skills/together-prod-checklist/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Development & Engineering, Product Management Roles: Data Scientist, ML / AI Engineer, Product Manager Specialties: API Tools: Together Ai Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: f1d16732523c8b5a0c6221c6aa3a056f880b5332710e2e22009ee96098f03ac7