Generates customized client onboarding checklists with phased tasks, ownership assignments, dependencies, acceptance criteria, and email templates. Adapts to consulting, SaaS, or agency engagement models.
The English summary is being prepared. Showing the original description.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Generate a comprehensive, customized client onboarding checklist saved as onboarding-checklist.md in the current working directory. The checklist is actionable, phase-structured, and tailored to the specific engagement type.
references/output-template.md -- Full output structure: header block, four phases, handoff criteria, formatting rules.references/engagement-types.md -- How to classify Consulting vs SaaS vs Agency, and per-type adaptation guidelines.references/task-banks.md -- Reference task pools per engagement type and phase.references/email-templates.md -- The five required email templates, their structure, and content guidelines.references/scaling-and-pitfalls.md -- Timeline and team-size scaling rules, common pitfalls, and the final quality checklist.Gather these before generating. If any are missing, ask for them explicitly:
references/engagement-types.md. This classification drives the structure and tone of the entire checklist.references/task-banks.md, adapting language, deadlines, and owners to the specific engagement. Reflect tech-stack items in relevant tasks.references/scaling-and-pitfalls.md based on the specified duration.references/scaling-and-pitfalls.md based on team composition.references/email-templates.md.onboarding-checklist.md following references/output-template.md. Apply the per-type adaptations in references/engagement-types.md.references/scaling-and-pitfalls.md.No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
The English summary is being prepared. Showing the original description.
Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
The English summary is being prepared. Showing the original description.
Use to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.
The English summary is being prepared. Showing the original description.
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.
The English summary is being prepared. Showing the original description.
Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.
The English summary is being prepared. Showing the original description.
Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.
The English summary is being prepared. Showing the original description.