Agent skill
blueprint-research
Research phase for blueprint workflow - toolbox resolution, lessons discovery, and parallel research agents
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/blueprint-research-majesticlabs-dev-majestic-marketplace
SKILL.md
Blueprint Research
Handles Steps 4-6 of the blueprint workflow: Toolbox resolution, lessons discovery, and parallel research execution.
Input
feature_description: string
tech_stack: string | string[] # From config-reader
discovery_result: object # From blueprint-discovery
1. Resolve Toolbox + Discover Lessons
Read config (parallel):
/majestic:config tech_stack generic
/majestic:config lessons_path .claude/lessons/
Spawn agents (parallel):
Task(majestic-engineer:workflow:toolbox-resolver):
prompt: "Stage: blueprint | Tech Stack: {tech_stack}"
Task(majestic-engineer:workflow:lessons-discoverer):
prompt: "workflow_phase: planning | tech_stack: {tech_stack} | task: {feature_description}"
Store outputs:
research_hooks→ for Step 2coding_styles→ for Step 3lessons_context→ for architect agent
Non-blocking errors:
- No toolbox found → Continue with core agents
- Lessons directory missing → Continue
- Discovery returns 0 lessons → Log, continue
- Discovery fails → Log warning, continue
2. Spawn Research Agents
Core agents (always run):
Task(majestic-engineer:research:git-researcher, prompt="{feature}")
Task(majestic-engineer:research:docs-researcher, prompt="{feature}")
Task(majestic-engineer:research:best-practices-researcher, prompt="{feature}")
Stack-specific agents (from toolbox):
For each hook in research_hooks:
If hook.triggers.any_substring matches feature_description:
Task(subagent_type=hook.agent, prompt="{feature} | Context: {hook.context}")
Cap: Maximum 5 total agents to avoid noise.
Wait: Collect all results before proceeding.
3. Spec Review + Skill Injection
Run in parallel:
Task(majestic-engineer:plan:spec-reviewer):
prompt: "Feature: {feature} | Research: {combined_research}"
For each skill in coding_styles:
Skill(skill: skill)
Outputs:
spec_findings→ gaps, edge cases, questionsskill_content→ loaded coding style content
Output
research_result:
toolbox:
research_hooks: array
coding_styles: array
lessons_context: string | null
research_findings:
git: string
docs: string
best_practices: string
stack_specific: array
spec_findings:
gaps: array
edge_cases: array
questions: array
skill_content: string
ready_for_architecture: boolean
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