Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
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Generates professional Statements of Work from a project brief. Use when a user needs to create an SOW, scope a project, define deliverables and milestones, or produce a consulting engagement document.
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Generate complete, client-ready Statements of Work from a project brief, meeting the standards of Big Four consulting firms, top-tier agencies, and enterprise procurement. Produce polished documents ready for client review with minimal edits, never rough drafts or templates with blanks.
references/required-inputs.md -- inputs to gather and pre-generation client researchreferences/document-structure.md -- the 16-section SOW structure with templates for every sectionreferences/pricing-templates.md -- fixed-price, time-and-materials, and retainer pricing models (Section 11)references/legal-terms.md -- confidentiality, IP, warranties, liability, termination, and other legal clauses (Section 14)references/change-management.md -- change request and change order process (Section 12)references/risk-management.md -- risk register and escalation path (Section 13)references/required-inputs.md. If any required item is missing, ask for it explicitly. Do not guess at critical commercial terms.references/required-inputs.md to gather company overview, recent news, technology footprint, and regulatory environment. If research yields nothing, proceed on user-provided inputs and flag assumptions explicitly. Never fabricate company information.references/pricing-templates.md based on engagement type (default: fixed-price).references/document-structure.md, pulling Section 11 from pricing-templates, Section 12 from change-management, Section 13 from risk-management, and Section 14 from legal-terms. Replace every bracketed placeholder with real values from inputs and research. Leave brackets only where the user explicitly deferred. Mark gaps with [ACTION REQUIRED: ...].sow.md in the working directory (or a user-specified path).Verify before finalizing:
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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.
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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.
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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.
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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.
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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.
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