Workflow 5: orchestrate a text-only resubmit of a polished paper to a different venue under hard constraints (no new experiments, no bib edits, no framework changes, never overwrite prior submissions). Use when user says "resubmit pipeline", "重投流程", "port paper to <new venue>", "resubmit to <venue>", "tighten paper for resubmission", or has a rejected/withdrawn paper to move to a different top venue under tight time budget.

Establishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no number in mind, records everything in CONSTRAINTS.md, and watches the diff for a weakened bar — new @ts-ignore or eslint-disable suppressions, skipped or deleted tests, assertions stripped out, unimplemented stubs, thresholds edited down. Use when no quality bar is written down, when the user says "set up constraints" or "define our standards", when the user wants dimensions they care about — accessibility, web performance, coverage — set up as enforced constraints, when an agent keeps silencing checks or skipping tests to get to green, when you need a coverage or performance threshold and don't know what number to pick, or when an agent writes more code than anyone will read.

Set up or check claude-mem cloud sync with cmem.ai Pro. Use when the user says "set up cloud sync", "sync my memories", "cmem pro", "cloud backup", "sync status", or wants their memory database backed up or synced to their cmem.ai account.

Run the CCS Align seat's hourly breathing cycle — prove the local claude-mem worker is healthy, pull needle observations through search → timeline → get_observations, land them in a seat-owned middle cache via atomic grab → append → filter exclude-marks → replace, manage exclude marks, and walk house → project → seat rules to detect conflicts (SHADOW_HOUSE, DENY_ALLOW, DRIFT, CLOCK_HEADER) with an append-only rules-report.md. Use when asked to run CCS Align, breathe the alignment seat, refresh the middle cache, exclude or restore an observation, walk rules, check rules conflicts, or check the Worker Watch board.

Use this when setting up claude-mem on Grok Bot: local worker plus CMEM Pro observer (default), optional host-login observer, or remote cmem.ai. No Cursor required.

Use this when the user asks to search memory, "did we already solve this?", "how did we do X last time?", or wants work from previous sessions.

Use this when the user asks to search memory, "did we already solve this?", "how did we do X last time?", or wants work from previous sessions.

dd-trace-py LLMObs integration development guide. Use when creating, modifying, or debugging LLMObs integrations for LLM/AI libraries in the Python tracer. Covers BaseLLMIntegration, stream handling, message extraction, token counting, tool call parsing, and VCR-based testing patterns. Triggers: "llmobs", "LLMObs", "BaseLLMIntegration", "llmobs_set_tags", "_llmobs_set_tags", "BaseStreamHandler", "submit_to_llmobs", "integration.trace", "LLM span", "VCR", "cassette", "anthropic", "openai", "google_genai", "claude_agent_sdk", "generative-ai", "LLM integration", "llmobs_enabled".

dd-trace-py integration development guide. Use when creating, modifying, or debugging contrib integrations in the Python tracer. Covers the patch module system, context_with_data, context_with_event (new), registration, testing through the repository test runner, and common anti-patterns. LLM/AI integrations should use this skill for APM-side workflow only; use llmobs-integrations for LLMObs-specific lifecycle, extraction, streaming, and VCR guidance. Pin is DEPRECATED. Triggers: "dd-trace-py", "ddtrace", "contrib", "integration", "patch.py", "trace_handlers", "PATCH_MODULES", "context_with_data", "context_with_event", "TracingEvent", "VCR", "cassette", "generative-ai", "LLM integration", "run-tests", "suitespec", "new integration", "wrap", "unwrap".

Corrects outdated LLM knowledge about the Vercel platform and introduces new products. Injected at session start.

Set up and use feature flags and A/B tests with the Flags SDK (`flags` npm package) and Vercel Flags. Use when installing or configuring the SDK, adding a new or existing flag, wiring `vercelAdapter` (OIDC or SDK keys), declaring flags with `flag()`, using the `vercel flags` CLI (create, inspect, list, enable, disable, set, update, split, rollout, rules, segments, use-targeting, evaluations, versions, open, archive, unarchive, rm, sdk-keys, override, prepare), setting up providers/adapters (Vercel, Statsig, LaunchDarkly, PostHog, GrowthBook, Global Config, OpenFeature, Split, Flagsmith, Reflag, Optimizely, or custom), precompute, `identify`/`dedupe`, Flags Explorer/Toolbar, Next.js or SvelteKit, or encrypting flag values. Triggers: feature flags, feature gates, A/B testing, experimentation, gradual rollout, traffic split, targeting rules, flag overrides, precompute, Flags Explorer, Vercel Flags, vercel flags CLI, `flags/next`, `flags/sveltekit`, `flags/react`, `@flags-sdk/*`.

Set up and use feature flags and A/B tests with the Flags SDK (`flags` npm package) and Vercel Flags. Use when installing or configuring the SDK, adding a new or existing flag, wiring `vercelAdapter` (OIDC or SDK keys), declaring flags with `flag()`, using the `vercel flags` CLI (create, inspect, list, enable, disable, set, update, split, rollout, rules, segments, use-targeting, evaluations, versions, open, archive, unarchive, rm, sdk-keys, override, prepare), setting up providers/adapters (Vercel, Statsig, LaunchDarkly, PostHog, GrowthBook, Global Config, OpenFeature, Split, Flagsmith, Reflag, Optimizely, or custom), precompute, `identify`/`dedupe`, Flags Explorer/Toolbar, Next.js or SvelteKit, or encrypting flag values. Triggers: feature flags, feature gates, A/B testing, experimentation, gradual rollout, traffic split, targeting rules, flag overrides, precompute, Flags Explorer, Vercel Flags, vercel flags CLI, `flags/next`, `flags/sveltekit`, `flags/react`, `@flags-sdk/*`.

Build durable backend AI agents with the eve framework. Use when creating, editing, or debugging an eve project — agent instructions, skills, tools, connections, channels, sandboxes, subagents, schedules, or evals.

eve framework guidance for durable AI agents and agent-powered applications. Use when creating, editing, or debugging an eve project, when the user explicitly asks for eve, or when the build-agents skill has selected eve as the default framework. Covers eve's filesystem-first runtime, durable sessions, tools, skills, connections, channels, sandboxes, subagents, schedules, evals, frontend clients, and Agent Runs observability. Do not use for incidental agent mentions, generic agent-building prompts, or established non-eve stacks unless the user asks for comparison or migration.

Vercel environment variable expert guidance. Use when working with .env files, vercel env commands, Secret or Config variable types, OIDC tokens, or managing environment-specific configuration.

Vercel deployment and CI/CD expert guidance. Use when deploying, promoting, rolling back, inspecting deployments, building with --prebuilt, or configuring CI workflow files for Vercel.

Backend architecture guidance. Use when planning, building, or migrating an API or backend; choosing between Functions, Services, containers, Workflow, Queues, and Marketplace databases; or selecting a supported backend framework or runtime.

Vercel Chat SDK expert guidance. Use when building multi-platform chat bots — Slack, Telegram, Microsoft Teams, Discord, Google Chat, GitHub, Linear — with a single codebase. Covers the Chat class, adapters, threads, messages, cards, modals, streaming, state management, and webhook setup.

Build multi-platform chat bots with Chat SDK (`chat` npm package). Use when developers want to scaffold a bot with create-chat-sdk, build a Slack, Teams, Google Chat, Discord, Telegram, GitHub, Linear, or WhatsApp bot, handle mentions, direct messages, subscribed threads, reactions, slash commands, cards, modals, files, or AI streaming, set up webhook routes or multi-adapter bots, send rich cards or streamed AI responses to chat platforms, or build a custom adapter or state adapter.

Debug Vercel CDN caching — cache hit rate, stale content, revalidation behavior, ISR + PPR, per-request cache reasons (cacheReason) and PPR state (ppr_state), and costs.