These workflow examples are a great addition — practical, well-structured, and aligned with the roadmap. The startup MVP and landing page sprint patterns will be really useful references. Thanks @jnMetaCode!
Excellent addition! The lint workflow looks solid — validates required frontmatter as errors, recommended sections as warnings, and only lints changed files to avoid noise. Thanks @jnMetaCode!
Add Xiaohongshu Specialist, WeChat Official Account Manager, and Zhihu
Strategist to the Marketing Division roster. Update agent count to 59.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Demonstrates 8 agents (Product Trend Researcher, Backend Architect,
Brand Guardian, Growth Hacker, Support Responder, UX Researcher,
Project Shepherd, XR Interface Architect) deployed in parallel to
evaluate a software opportunity and produce a unified product plan.
Adds examples/ directory with README and the Nexus Spatial discovery
document. Links from the project README under a new Scenario 4 and
checks off the multi-agent workflow examples roadmap item.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fix ((errors++)) causing early exit under set -e
- Fix command injection in workflow by using env variable
- Add strategy/ directory to lint paths and AGENT_DIRS
Adds two step-by-step workflow examples showing how to coordinate
multiple agents for real projects:
- Startup MVP: 7 agents across a 4-week build cycle
- Landing Page Sprint: 4 agents shipping a page in one day
Each example includes exact prompts to copy, handoff patterns, and
tips for passing context between agents. Checks off the
"Multi-agent workflow examples" item from the roadmap.
- Add missing color field to 4 agents: content-creator, growth-hacker,
social-media-strategist, data-analytics-reporter
- Replace non-standard tools field with the required color field
- Fix CRLF line endings in agentic-identity-trust.md
Adds a lint script and GitHub Actions workflow that checks agent
markdown files for required YAML frontmatter fields (name, description,
color) and recommends standard sections. Only changed files in PRs
are validated to avoid blocking on pre-existing issues.
Remove unrestricted Bash tool access from 7 agents that only need
analytical/advisory capabilities, rewrite the Social Media Strategist
agent (was a duplicate of Twitter Engager) to cover multi-platform
strategy as intended, fix incorrect descriptions, harden webhook
example to use env vars, and clarify ambiguous AMA language.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Remove all hardcoded "51" agent counts from README and strategy docs to
avoid future maintenance burden as new agents are contributed. Add Image
Prompt Engineer (Design), Sales Data Extraction Agent, Data Consolidation
Agent, and Report Distribution Agent (Specialized) to all roster listings.
Fix slug-style name on Image Prompt Engineer frontmatter.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Update 19 agent name: fields from slug-style (e.g. "engineering-ai-engineer")
or code-style (e.g. "ArchitectUX") to clean human-readable names (e.g.
"AI Engineer", "UX Architect"). Add missing YAML frontmatter to 2 spatial-
computing agents. All 51 agents now use consistent naming that aligns with
the NEXUS strategy docs.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Sales Data Extraction Agent: monitors Excel files and extracts MTD/YTD/Year End metrics
- Data Consolidation Agent: aggregates sales data into live dashboard reports
- Report Distribution Agent: automates territory-based report delivery to reps
https://claude.ai/code/session_01AEiWwqyjysw81oCnATatBg
- Fix malformed YAML frontmatter with literal \n characters in agent files
- Fix insecure HTTP link in README (http:// -> https://)
- Update outdated year references (2024 -> 2025)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
New design specialist focused on crafting professional photography
prompts for AI image generation tools. Includes comprehensive
frameworks for portrait, product, landscape, and fashion photography
with platform-specific optimization for Midjourney, DALL-E, Stable
Diffusion, and Flux.
