Self-improving agent rig: codifies product and engineering discipline into composable workflows from brainstorm to ship. Compounds knowledge, generates domain agents, monitors its own docs, and surfaces conservative update drift. Orchestrates Claude, Codex, and GPT-5.2 Pro through 6 agents, 51 commands, 17 skills, 0 MCP servers. Factory substrate: CXDB turn DAG, scenario bank with satisfaction scoring, evidence pipeline, agent capability policies. Companions: interspect, interphase, interline, interflux, interpath, interwatch, interslack, interform, intercraft, interdev, interpeer, intertest.
npx claudepluginhub mistakeknot/interagency-marketplace --plugin clavainScan open beads for stale trackers that are already implemented — deterministic checks first, LLM verification second
Collaborative brainstorm workflow — explore ideas through structured dialogue (assess clarity, research repo, explore approaches, capture design) with auto-handoff to /write-plan.
Orchestrate epic execution — read children, topo-sort by dependencies, dispatch phases sequentially with parallel features
Create engaging changelogs for recent merges to main branch
Toggle interserve execution mode
Bootstrap or check Clavain Codex installation health (install + wrapper sync + doctor)
Document a recently solved problem to compound your team's knowledge
Create or edit Claude Code skills with expert guidance on structure and best practices
Run a structured Claude↔Codex debate before implementing a complex task
Generate PR title and description from current branch commits
Synthesize accumulated docs into categorized solutions and generate missing SKILL-compact.md files
Quick health check — verifies MCP servers, external tools, beads, and plugin configuration without making changes
Execute plan in batches with review checkpoints
Run build, capture error, fix it, re-run — fast loop for type errors and build failures without heavyweight debugging
Discipline analytics — view KPIs, report defects, or reset cache
Create a new custom slash command following conventions and best practices
Generate a concise session handoff summary for pasting into a new conversation
Fix incorrect SKILL.md files when a skill has wrong instructions or outdated API references
Show Clavain commands organized by daily drivers first, then by workflow stage
Scaffold .clavain/ agent memory directory in the current project
Run Codex-first execution flow for larger scope work
Run the landing workflow for trunk-based handoff
Orchestrate database migration and data-risk work with consistent safety checks — combines data integrity, migration, and deployment verification agents
Toggle subagent model routing between economy (smart defaults) and quality (all opus) mode
Have multiple specialized agents review a plan in parallel
Triage all open PRs — batch by theme, review with parallel agents, generate report, walk through decisions
Gate orchestrator — prepares diff, delegates review to flux-drive, enforces pass/fail gate
Search across all knowledge systems — curated docs, memory files, legacy entries
Plan and execute safe refactors with explicit risk controls
Capture sprint learnings and advance from reflect to done
Disciplined bug investigation that enforces "reproduce first, then diagnose" — composes debugging agents into a structured workflow
Resolve findings from any source — auto-detects TODOs, PR comments, or todo files, then resolves in parallel
Run disciplined code review and feedback triage
Quick single-pass document refinement — assess clarity, score quality, fix issues, offer iteration
Perform exhaustive code reviews using multi-agent analysis and deep inspection
Universal entry point — discovers work, resumes sprints, classifies tasks, and dispatches to /sprint or /work
Bootstrap Clavain for the active runtime (Codex or Claude Code) and verify health
Run smoke tests against a running app — detect dev server, walk critical user journeys, report results
Visualize sprint execution as a DAG — shows phases, dispatches, and artifacts
Deep scan of sprint workflow state — session continuity, pipeline health, plan progress, beads, and recommendations
Phase sequencer — brainstorm, strategize, plan, execute, review, ship. Use /route for smart dispatch.
Unified status view across Clavain, artifact generation, doc drift, and coordination
Structure brainstorm output into a PRD with features, create beads for tracking, and validate before detailed planning
Run disciplined test-driven development (RED-GREEN-REFACTOR) for a task
Create and maintain file-based todo tracking
Triage and categorize findings for the CLI todo system
Conservative update check — reports available Sylveste/Clavain/Codex updates without changing anything
Check upstream repos (beads, oracle, superpowers, compound-engineering) for updates and generate upgrade checklist
Run completion verification before claiming work is done
Execute work plans efficiently while maintaining quality and finishing features
Create detailed implementation plan with bite-sized tasks
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- Codex sync operations: `docs/runbooks/codex-sync.md`
- Flat `.md` files in `commands/`
- Run `scripts/bump-version.sh <version>` (or `/interpub:release <version>` in Claude Code) for any released changes.
- Registration in `hooks/hooks.json` — specifies event, matcher regex, and command
Agents can publish interface contracts during sprint execution to enable parallel work against shared interfaces. This is Pattern 1 from the WCM (When Claudes Meet) analysis.
Validates data migrations, backfills, and production data transformations against reality. Use when PRs involve ID mappings, column renames, enum conversions, or schema changes.
Use this agent when a major project step has been completed and needs to be reviewed against the original plan and coding standards. Examples: <example>Context: The user is creating a code-review agent that should be called after a logical chunk of code is written. user: "I've finished implementing the user authentication system as outlined in step 3 of our plan" assistant: "Great work! Now let me use the plan-reviewer agent to review the implementation against our plan and coding standards" <commentary>Since a major project step has been completed, use the plan-reviewer agent to validate the work against the plan and identify any issues.</commentary></example> <example>Context: User has completed a significant feature implementation. user: "The API endpoints for the task management system are now complete - that covers step 2 from our architecture document" assistant: "Excellent! Let me have the plan-reviewer agent examine this implementation to ensure it aligns with our plan and follows best practices" <commentary>A numbered step from the planning document has been completed, so the plan-reviewer agent should review the work.</commentary></example>
- One directory per skill: `skills/<kebab-case-name>/SKILL.md`
Systematically reproduces and validates bug reports to confirm whether reported behavior is an actual bug. Use when you receive a bug report or issue that needs verification.
Delegates well-scoped tasks to Codex CLI for cost-efficient execution. Use proactively for implementation, exploration, search, test generation, and code review when the task has clear scope and success criteria. Keep architecture, brainstorming, and interactive work in Claude.
Addresses PR review comments by implementing requested changes and reporting resolutions. Use when code review feedback needs to be resolved with code changes.
Iterates on UI refinements — tooltips, labels, layouts, mobile fixes, spacing, chart styling. Takes a screenshot or URL + natural language instruction and makes targeted frontend edits. Use when the user provides visual feedback about a web or TUI interface.
Use when requesting or receiving code review — covers dispatching reviewer subagents, handling feedback with technical rigor, and avoiding performative agreement
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when capturing a solved problem as categorized documentation with YAML frontmatter for fast lookup
Use when you have a written implementation plan to execute in a separate session with review checkpoints
This skill should be used when managing the file-based todo tracking system in the todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integrating with slash commands and code review processes.
Show discipline analytics — defect escape rate, override rate, cost metrics, and agent scorecard
Dispatch tasks to Codex CLI agents — single megaprompt for one task, parallel delegation for many. Includes structured debate triggers and Oracle escalation.
Use when implementation is complete and all tests pass — guides the disciplined process of verifying, documenting, and landing a change on trunk
Manage thematic work lanes — discover, create, tag beads, show velocity and starvation scores
Use when setting up any project (new or existing) in the Sylveste ecosystem — introspects infrastructure, creates GitHub repo if needed, conducts guided interview, scaffolds docs and automation, configures observability, seeds content via interpath. Replaces the former project-kickstart command.
Use when performing significant refactoring — guides a disciplined process that leverages duplication detection, characterization tests, staged execution, and continuous simplicity review
Use when work is done and you need to commit, push, close beads, and sync in one shot. The quick session-close ceremony.
Use when executing implementation plans with independent tasks in the current session
Use when checking for updates from upstream tool repos (beads, oracle, superpowers, compound-engineering) or when the /clavain:upstream-sync command is invoked
Use when starting any conversation - establishes how to find and use skills, agents, and commands, requiring Skill tool invocation before ANY response including clarifying questions
Use when you need to run interactive CLI tools (vim, git rebase -i, Python REPL, etc.) that require real-time input/output - provides tmux-based approach for controlling interactive sessions through detached sessions and send-keys
Use when you have a spec or requirements for a multi-step task, before touching code
Complete collection of battle-tested Claude Code configs from an Anthropic hackathon winner - agents, skills, hooks, rules, and legacy command shims evolved over 10+ months of intensive daily use
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.