Claude Skills by sipyourdrink-ltd

Manage Bernstein agents - list active agents, inspect their output, kill stalled agents, or stream live logs. Use when the user asks about agents, wants to see what an agent is doing, or needs to kill one.

Show active alerts from Bernstein - failed tasks, stalled agents, budget warnings, blocked tasks needing human intervention. Use when the user asks about problems, errors, warnings, or what needs attention.

Review and approve/reject pending tasks or plans in Bernstein. Use when the user asks about approvals, wants to review agent work, or needs to approve/reject a plan before execution begins.

Show detailed cost breakdown and budget status for the Bernstein orchestrator. Use when the user asks about spending, budget, cost per model, cost per agent, or wants a cost projection.

Create a new task in the Bernstein orchestrator. Use when the user wants to add a task, delegate work to an agent, file a bug fix, or queue up work for the orchestrator to handle.

Create and manage multi-step execution plans in Bernstein. Plans decompose complex goals into stages with dependencies. Use when the user wants to plan a complex feature, break down a large task, or review an execution plan before agents start working.

Show quality metrics for Bernstein runs - success rates per model, lint/test pass rates, completion time distributions. Use when the user asks about quality, reliability, which model performs best, or pass rates.

Show Bernstein orchestrator status - active agents, task progress, costs, and alerts. Use when the user asks about orchestrator status, what agents are doing, task progress, how much has been spent, or what's happening with the build.

Evaluate proposals - feasibility, engineering payoff, risk.

System design - module boundaries, API contracts, ADRs.

Python server code, APIs, async, strict typing.

CI failures - read error, minimal fix, verify.

DevOps - Docker, CI/CD, cloud infra, monitoring.

Documentation - README, API docs, ADRs, tutorials.

React / Next.js UI, state, accessibility.

Planning - decompose goals, create tasks via task server.

ML - training, inference, embeddings, evaluation.

LLM prompts - design, evaluate, tune instructions.

Test writing - pytest suites, edge cases, regressions.

Git merge conflicts - resolve without losing intent.

Retrieval - vector DBs, embeddings, hybrid search, reranking.

Code review - correctness, tests, merge-readiness.

Security review - OWASP, auth, secrets, input validation.

Ideation - generate bold feature proposals.

Cross-cell coordination - resolve conflicts, decide pivots.