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Found 9,424 Skills
Mark a checkpoint in the current conversation — compact it into a durable handoff document so a fresh agent can resume the work without context loss. Use when the user wants to preserve session state for a later or parallel session — phrases like "hand this off", "write a handoff", "drop a wheypoint", "checkpoint this", "compact the conversation", "I'm running low on context", "save where we are for the next session", "prep a handoff for another agent", "/wheypoint". Use even when the user just says "wrap up" or "I need to clear context" mid-task. Do NOT use for per-phase pipeline handoffs — those belong to `/cook`, `/press`, `/age`, and `/cure`.
Turn finished local work into a commit, an ordinary pull request, or a stacked pull-request chain. Use when asked to commit, save changes, open or update a PR, publish a branch, create/sync/restack/submit a PR stack, or run /plate. Owns all staging, committing, pushing, PR creation, and stack-aware mutation. GitHub inspection, review, comments, CI, issues, releases, and repository administration remain /gh.
Selects, deploys, and customizes AI models on Amazon SageMaker. Fine-tuning (SFT, DPO, RLVR, RLAIF), model selection, dataset preparation, evaluation, deployment to SageMaker endpoints or Bedrock, and endpoint diagnostics. Covers the full lifecycle from planning through production. Use when fine-tuning models on SageMaker, selecting base models from SageMaker Hub, finding a model to deploy without fine-tuning, transforming datasets for training, checking data readiness, evaluating model quality, deploying to endpoints, setting up IAM roles and S3 buckets for training jobs, or managing a SageMaker Managed MLflow app. Also use to check endpoint health, diagnose failures, debug latency or errors, or view container logs and CloudWatch metrics. Covers Serverless Model Customization, Nova and OSS deployment paths, and PySDK v3 usage. NOT for Ground Truth labeling, Feature Store, or general-purpose AWS infrastructure.
Run an arbitrary autonomous task end-to-end and ship it as a PR against the configured base branch. Drafts a Progress-tracked execution plan, commits on a fresh worktree branch, implements phase-by-phase, runs the configured validation gate, applies pipeline labels. Long plans hand off to om-auto-create-pr-loop automatically. Resumable via om-auto-continue-pr.
Use when resuming work after a pause, reboot, or context switch and the workspace uses `wiki/checkpoints/` resumable notes. Read the latest relevant checkpoint chain, orient to the most likely in-flight scope, verify current files and tools before acting, and report the safest next step. Treats a goal path as concrete context; checks live goal status over stale checkpoints.
Reference implementation demonstrating the Command → Agent → Skill orchestration pattern in Claude MPM, showing both preloaded-skill and dynamic-skill-invocation styles
Create a session handoff for another agent, or resume, find, and read any user-selected continuity source. Use when work or conversation must continue without access to the current session history.
Use when the user asks to "create an influencer brief" or "write a campaign brief"; produces a structured creator brief with deliverables, key messages, creative direction, timeline, disclosure rules, and compensation terms. Not for choosing how to split spend across creators — use budget-optimizer. 达人合作简报/创作者BF
This skill should be used when the user asks to "write a creative brief", "build a motion brief", "the client doesn't know what they want", "turn this vague client request into a brief", "what questions should I ask the client", or "make a brief I can get sign-off on". It turns a fuzzy client ask into a structured, sign-off-ready motion design brief and the exact clarifying questions to send back.
Run all quality checks (tests, lint, typecheck), fix failures, update the changelog, commit, push, and create/update the pull request or merge request.
Own experiment evidence semantics: decide datasets, baselines, metrics, ablations, robustness tests, chart evidence, and exactly what rows or columns a result table should contain. Use for experiment design, benchmark planning, supplied-result evidence structure, result-table schema, chart-spec semantics, 设计实验, 对比实验, 消融, 结果表证据结构. Do not search literature as the main deliverable, visually beautify or render an already specified table/figure, improve layout/colors/readability, or invent results.
Synthesize GitHub delivery context into a concise Basic Memory project update. Use in CI after `bm ci collect` prepares a ProjectUpdateContext; return only structured AgentSynthesis JSON for `bm ci publish`.