The shift
From chatbots to modular AI workers
Generic prompting fails at scale — inconsistent outputs, wasted tokens, impossible to validate. Skills solve this.
Inconsistent
Different outputs for the same task every run.
Expensive
Unoptimized prompts burn tokens on simple tasks.
Hard to reuse
Context lives in chat history, not portable logic.
Unvalidatable
No way to A/B test or verify behavior before shipping.
The workflow
Generate → Evaluate → Deploy
Every stage of the skill lifecycle in one focused workspace.
Generate
Brainstorm and progressively refine production-grade SKILL.md files with Claude guiding every turn.
- ✓Guided brainstorming & progressive disclosure
- ✓Token-aware context mapping
- ✓Resource-optimized prompting
- ✓Subagent orchestration planning
- ✓Industry-specific system prompt injection
Evaluate
Auto-generate test cases, run blind A/B comparisons, and validate every skill before it ships.
- ✓Auto eval-set generation
- ✓Golden path & edge case testing
- ✓Blind A/B prompt comparisons
- ✓Skill linter with standard checks
- ✓Token guard & model routing hints
Deploy
Ship directly to Anthropic Managed Agents, Claude Code, or enterprise runtimes in one click.
- ✓One-click Managed Agent sync
- ✓MCP tool injection & versioning
- ✓settings.json download for CLI
- ✓Deployment payload validation
- ✓Multi-runtime compatibility
Token intelligence
Designed to reduce wasted AI spend
Every skill is analyzed for token complexity before you ship. SkillsWorkbench routes tasks to the right model automatically — so you don't pay Opus prices for Haiku tasks.
Progressive Disclosure
Skills reveal context progressively — small context for fast tasks, deep context only when needed.
Token Telemetry
Real-time estimates of context load, complexity score, and cost before every deploy.
max_spawn_depth Optimization
Control subagent spawn depth to prevent runaway token consumption in orchestrated workflows.
Automatic model routing
Real-world skills
Skills built for complex industries
Each skill is domain-aware, tool-wired, and optimized for the right model — not a generic prompt wrapped in YAML.
Prior Auth Reviewer
Automatically pulls oncology notes, cross-references insurance rules via MCP, and drafts authorization requests — reducing manual review time by 80%.
Audit Log Forensicist
Analyzes CSV logs and spreadsheets to identify GAAP anomalies or fraud patterns, producing audit-ready reports with full traceability.
RLS Security Architect
Audits Supabase Row-Level Security policies and middleware implementations to identify cross-tenant data leaks before they reach production.
SERP Content Strategist
Scrapes competitor SERPs and builds structured Markdown content clusters, mapping intent, keyword gaps, and recommended article structures.
Legal Redliner
Reads contract PDFs and flags non-standard clauses, liability exposure, and missing definitions — outputting a redline diff with recommended alternatives.