Skill Claude CodeCodex
Layer 1 skill for extracting behavioral intelligence from test suites. Framework detection, test code reading strategy, test execution strategy, behavioral claim extraction with Given/When/Then mapping, e2e vs unit value classification. Loaded by the analyzer agent during Layer 1.
Skill Claude CodeCodex
Cross-cutting validation discipline. Acceptance criteria format, definition of done checklists, quality gate criteria, verification methods. Loaded by every analysis agent.
Skill Claude CodeCodex
Layer 1 skill for browser automation and visual UX documentation. Initial reconnaissance, navigation mapping, interaction documentation, end-to-end flow capture, edge case exploration, screenshot methodology. Loaded by the analyzer agent during Layer 1.
prime-radiant-inc/iterative-development
Plugin Claude Code
An iterative implementation methodology that pairs with superpowers. Extracts requirements with proof obligations from large spec collateral, defines a walking skeleton that closes a real journey, then loops through audited sprints building a behavior evidence corpus until an auditor confirms the product matches the…
prime-radiant-inc/iterative-development
Skill Claude CodeCodex
Use when an iteration has just finished and you need to verify behavior evidence quality in three tiers — deep evidence for current stories, impacted behavior for touched scenarios, and sentinel corpus for high-value regression detection.
prime-radiant-inc/iterative-development
Skill Claude CodeCodex
Use when starting an iterative-development run on human spec collateral — reads the spec, produces per-epic requirement files with proof obligations and behavior scenario cards with stable IDs.
prime-radiant-inc/iterative-development
Skill Claude CodeCodex
Use when executing a batch of TDD-sized tasks inside a running-an-iteration call — dispatches an implementer subagent per task following red-green-refactor discipline and returns per-task completion status.
prime-radiant-inc/iterative-development
Skill Claude CodeCodex
Use when implementing a project with a large, comprehensive, or ambiguous spec — extracts requirements with proof obligations, defines a walking skeleton with its first journey scenario, then loops through audited sprints that continuously build a behavior evidence corpus. Completion means passing evidence, not just…
prime-radiant-inc/iterative-development
Skill Claude CodeCodex
Use when executing the next pending iteration from an iterative-development roadmap — picks the iteration, decomposes into code and evidence tasks, runs sentinel corpus baseline, dispatches implementing-tasks, runs impacted + sentinel scenarios, and updates artifacts.
prime-radiant-inc/iterative-development
Skill Claude CodeCodex
Use when turning extracted requirements into a roadmap — selects the walking skeleton iteration with its first journey scenario, orders remaining work into follow-on iterations, and applies story splitting when ACs have different dependency profiles.
Instructions file CodexOpenCode
AGENTS.md instructions for prime-radiant-inc/sprout, covering agents.md — sprout project conventions, language & runtime, code style, testing and project structure.
Agent
Ask when consequential design choices must be settled before or during implementation — investigates context, compares approaches, and records decisions.
Agent
Memory investigation, synthesis, and authorized curation when surfaced memories are insufficient.
Agent
Systematically diagnose and fix bugs: find root cause before attempting any fix.
Agent
Observe Sprout's live session behavior and send concise guidance when it is drifting, stuck, or missing an important instruction.
Agent
Explore and understand unfamiliar codebases, map architecture, and synthesize structural insights.
Agent
Ask when you need to know what Sprout agents, tools, or MCP servers are available, need a reusable capability plan, or need a new specialist built; not for local command/runtime/cwd checks.
Agent
Build new specialist agent definitions on the fly.
Agent
Discover and index available capabilities across agents, tools, and MCP servers.
Agent
Plan how to accomplish goals by combining available tools, agents, and MCP capabilities.
Agent
Reconcile genome/root differences and propose contributions.
Agent
Analyze, search, debug, and repair Sprout sessions using metadata and JSONL event logs.
Agent
Diagnose whether Sprout is learning effectively from sessions, stumbles, metrics, and pending evaluations.
Agent
Explain Sprout internals and advise on changes using architecture resources plus source verification.