By ai-dynamo

Create self-contained interactive HTML code-review dashboards from GitHub or GitLab pull requests, checked-out branch diffs, or supplied unified diffs, with correctness and safe-to-merge scores…

ai-dynamo/dynamo

Knowledge of Fern's built-in MDX component library (accordions, callouts, cards, steps, tabs, code blocks, API-reference snippets, and more) for authoring docs pages.

ai-dynamo/dynamo

Knowledge of Fern's site-level navigation and structure configuration — how a docs site is organized in docs.yml (and product/version .yml files) using sections, pages, folders, tabs, tab variants…

ai-dynamo/dynamo

Convert InferenceX DB config/benchmark pairs, Dynamo recipe YAML, or confirmed custom serving configs into validated aiconfigurator estimate requests.

ai-dynamo/aiconfigurator

Drives persistent Claude Code, Codex, or OpenCode agent sessions through a Dynamo OpenAI/Anthropic-compatible endpoint over Agent Client Protocol (ACP).

ai-dynamo/dynamo

Benchmark and profile the Dynamo frontend (dynamo.frontend HTTP + tokenizer + KV router) against mock workers (dynamo.mocker).

ai-dynamo/dynamo

Design, add, review, or modify AIC Collector operations and their case population.

ai-dynamo/aiconfigurator

Selects and freezes a question-driven AIPerf workload, objective, load policy, and Kubernetes execution manifest for a successfully deployed Dynamo candidate.

ai-dynamo/dynamo

Sets up a structured debugging session for a Dynamo bug — pull the report from a Linear ticket, GitHub issue, or pasted text, capture the environment, create a persistent worklog markdown file, and…

ai-dynamo/dynamo

A skill your agent uses when running long AIC/aiconfigurator GPU perf auto-collection for a specific GPU/framework/frameworkversion, including draft-PR checkpoints, resumable collectxx.py runs…

ai-dynamo/aiconfigurator

Creates or updates Dynamo Enhancement Proposals as GitHub issues, including lightweight DEPs, implementation plans, and retroactive DEPs for ai-dynamo/dynamo.

ai-dynamo/dynamo

A skill your agent uses when validating AIC predictions against real GPU serving measurements and root-causing fidelity gaps (prediction-vs-measured issues, memory/concurrency mismatches, per-op…

ai-dynamo/aiconfigurator

Checks Dynamo Enhancement Proposal issue status, lists DEPs by lifecycle state or area, and finds related DEP issues in ai-dynamo/dynamo.

ai-dynamo/dynamo

A skill your agent uses when adding perf data for a new framework version, deciding which backendversion to query or pin in tests, bumping the maintained (current/previous) versions, retiring old…

ai-dynamo/aiconfigurator

Updates Dynamo Enhancement Proposal lifecycle state in GitHub, including triage, PIC assignment, review, approval, and status label changes.

ai-dynamo/dynamo

Deploys one assigned DynamoGraphDeployment and proves it with an OpenAI-compatible smoke test.

ai-dynamo/dynamo

Audit Dynamo Rust hot-path .clone() calls, explain which clones are removable and why, and only apply clone-removal patches when explicitly requested.

ai-dynamo/dynamo

Runs a CI health check on an ai-dynamo/dynamo pull request — report check status, explain why full CI has or has not triggered, root-cause failed job logs, cross-reference failures against main to…

ai-dynamo/dynamo

Works with Dynamo's generated CODEOWNERS - finds out who reviews a change, fixes a failing codeowners CI check, changes review routing, or grants an external contributor area-scoped ownership.

ai-dynamo/dynamo

Reports a defect in the optimization skillpack itself (the skills under .agents/skills/, the documents under agent-docs/, the role contracts under agents/, and the repository AGENTS.md files) as a…

ai-dynamo/dynamo

Runs deterministic byte-parity and paired performance campaigns for Dynamo offline KV-aware replay across native-G1 vLLM and SGLang configurations, including forced scheduler-pressure and…

ai-dynamo/dynamo

Adds, updates, moves, or removes content on the Dynamo Fern docs site — standard docs pages, catalog-driven recipe and feature-benchmark pages, examples, recipes, and translations — keeping…

ai-dynamo/dynamo

Consults the repository performance rules and applicable Dynamo and engine guides to select one evidence-backed optimization proposal, then writes the generator's knowledge-consult.md reasoning…

ai-dynamo/dynamo

Materializes one evidence-backed proposal from a flexible knowledge-consult.md into a challenger-ready deploy-draft.yaml by applying only its selected DGD change to the current successful manifest.

ai-dynamo/dynamo

Answers "for this model, this hardware, this GPU budget and this workload, what is the best known serving configuration, and how much do I trust it?" by walking an ordered set of recipe catalogs…

ai-dynamo/dynamo

Reviews code changes in the style of Graham King's ai-dynamo/dynamo reviews — exacting Rust and systems-level standards covering error handling, tracing discipline, unnecessary clones, async and…

ai-dynamo/dynamo

Ensures every piece of work in ai-dynamo/dynamo starts from a tracked issue and every pull request references one.

ai-dynamo/dynamo

Adversarially reviews an evidence-backed Dynamo optimization proposal and DGD draft for comparability, duplication, attribution, correctness, feasibility, and worthwhile GPU spend.

ai-dynamo/dynamo

Synthesizes a canonical userworkload.yaml and captures the user's immutable DynamoGraphDeployment from an optimization user's initial request, attachments, and minimal follow-up interview.

ai-dynamo/dynamo

Validates and normalizes raw AIPerf outputs, then evaluates valid results against target SLOs and comparable prior candidates.

ai-dynamo/dynamo

Drafts a candidate baseline DynamoGraphDeployment from interview requirements when no catalog recipe matches the user's model, hardware, and backend, presenting per-decision evidence for the user's…

ai-dynamo/dynamo

Launches, monitors, debugs, and collects one run-scoped AIPerf Kubernetes benchmark without changing its workload semantics.

ai-dynamo/dynamo