By athola
Governs AI-driven development with structured code review workflows, evidence-based reasoning enforcement, feature scoring (RICE/WSJF/Kano), scope guardrails, change impact analysis, and automated context recovery from git history.
Context recovery after session breaks. Summarize recent git changes, extract key decisions, and identify pending work.
Audit changes for additive bias, Iron Law compliance, and minimal intervention. Justifies every change against a "simplest safe change" standard.
Display stewardship health dimensions for one or all plugins
Start a structured review workflow with evidence logging and formatted output
Pre-flight gate walking four Karpathy principles (think first, simplicity, surgical edits, goal-driven). Use before implementation.
Makes agent reasoning visible, surfaces tradeoffs, and fades help so humans build judgment. Use when reviewing or learning from agent-written code.
Summarizes recent git changes for context recovery after session breaks. Use when resuming work after a gap or handing off to another session.
Verifies a package exists before install, defending against hallucination and slopsquatting. Use when adding, recommending, or installing a package.
Analyzes changesets with risk scoring, categorization by type and impact, and release note preparation. Use when extracting insights from raw change data.
Scores backlog items with RICE/WSJF/Kano and files GitHub issues for top candidates. Use when triaging a roadmap or prioritizing features for a sprint.
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
A plugin marketplace for Claude Code. Install only the plugins you need to run git workflows, code review, spec-driven development, and autonomous agents from inside your Claude Code session.
Requires Claude Code 2.1.16+ and Python 3.9+ for hooks.
# Add the marketplace, then install the plugins you want
/plugin marketplace add athola/claude-night-market
/plugin install sanctum@claude-night-market # Git workflows
/plugin install pensive@claude-night-market # Code review
/plugin install spec-kit@claude-night-market # Spec-driven dev
Run claude --init once after installing. Prefer one command?
npx skills add athola/claude-night-market installs everything;
opkg i gh@athola/claude-night-market --plugins sanctum,pensive
installs a subset. Full options are in the
Installation Guide.
If the
Skilltool is unavailable, read skill files directly atplugins/{plugin}/skills/{skill-name}/SKILL.md.
Night Market is built around the loop you already work in. A typical feature runs end to end on a handful of commands:
/attune:mission routes you through
brainstorm, specify, plan, and execute phases.imbue enforces a failing test first,
so implementation follows the test, not the other way around./full-review runs a
multi-discipline pass; /refine-code cleans up duplication
and dead code./prepare-pr runs quality gates and leaves a
clean git state ready for a pull request./catchup rebuilds context
from recent git history after a break.The commands you reach for most:
| Task | Command |
|---|---|
| Run the project lifecycle | /attune:mission |
| Initialize a new project | /attune:arch-init |
| Review a PR | /full-review |
| Address review feedback | /fix-pr |
| Implement an issue | /do-issue |
| Prepare a pull request | /prepare-pr |
| Write a spec | /speckit-specify |
| Catch up on changes | /catchup |
| Package project knowledge as skills | /attune:skill-library |
| Clean up the codebase | /unbloat |
| Pressure-test a decision | /attune:war-room |
Full task-by-task walkthroughs are in the [Common Workflows Guide][workflows].
23 plugins in four layers. Each installs independently, and dependencies pull their shared runtime automatically.
Foundation is the base every other layer builds on:
leyline (auth, quotas, error patterns, trust verification),
sanctum (git, commits, PR prep, sessions), and imbue
(TDD enforcement, proof-of-work, scope guarding).
Utility handles cross-cutting concerns: conserve (context
and token optimization), conjure (delegation to Gemini and
Qwen), hookify (a behavioral rules engine with a security
catalog), egregore (autonomous agent orchestration),
herald (notifications), and oracle (local ML inference).
Domain is where the day-to-day work happens: pensive (code
and architecture review), attune (project lifecycle), spec-kit
(spec-driven development), parseltongue (Python), minister
(GitHub issues and DORA metrics), memory-palace (knowledge
organization), archetypes (architecture paradigms), gauntlet
(codebase learning), phantom (computer use), scribe
(documentation and slop detection), scry (recordings), tome
(research), and cartograph (codebase visualization).
Meta improves the system itself: abstract (skill authoring,
hook development, evaluation, and skill-stability tracking).
The full skill, command, and agent inventory is in the Capabilities Reference.
⚠️ Plugins run inside your Claude Code session and can read or edit your repo, run shell commands, and call external services. Review any plugin before installing it.
Three guards reduce the blast radius, but none replace your own review:
npx claudepluginhub athola/claude-night-market --plugin imbueMeta-skills infrastructure for Claude Code plugin ecosystem - skill authoring, hook development, modular design patterns, and evaluation frameworks
Spec Driven Development toolkit - structured specification, planning, and implementation workflows for systematic feature development
Spatial knowledge organization using memory palace techniques - build, navigate, and maintain virtual memory structures for enhanced recall and information management. Includes PR Review Room for capturing review knowledge.
Documentation review, cleanup, generation, voice extraction, and human-quality writing enforcement with AI slop detection and SICO-based voice profiling
Multi-source research plugin — code archaeology, community discourse, academic literature, and TRIZ cross-domain analysis with domain-adaptive depth
Corca Workflow Framework — consolidated hooks and skill orchestration for structured development sessions
Full-cycle project development - brainstorm ideas, create specifications, plan architecture, initialize projects, and execute implementation with integrated workflows from superpowers and spec-kit
Brainstorm, plan, debug, review, and compound learnings with AI agents
Use this agent when planning 6-day development cycles, prioritizing features, managing product roadmaps, or making trade-off decisions. This agent specializes in maximizing value delivery within tight timelines. Examples:\n\n<example>\nContext: Planning the next sprint\nuser: "We have 50 feature requests but only 6 days"\nassistant: "I'll help prioritize for maximum impact. Let me use the sprint-prioritizer agent to create a focused sprint plan that delivers the most value."\n<commentary>\nSprint planning requires balancing user needs, technical constraints, and business goals.\n</commentary>\n</example>\n\n<example>\nContext: Making feature trade-offs\nuser: "Should we build AI chat or improve onboarding?"\nassistant: "Let's analyze the impact of each option. I'll use the sprint-prioritizer agent to evaluate ROI and make a data-driven recommendation."\n<commentary>\nFeature prioritization requires analyzing user impact, development effort, and strategic alignment.\n</commentary>\n</example>\n\n<example>\nContext: Mid-sprint scope changes\nuser: "The CEO wants us to add video calling to this sprint"\nassistant: "I'll assess the impact on current commitments. Let me use the sprint-prioritizer agent to reorganize priorities while maintaining sprint goals."\n<commentary>\nScope changes require careful rebalancing to avoid sprint failure.\n</commentary>\n</example>
Full feature development workflow from spec to completion
PRD-driven AI dev team control plane for Claude Code — agents, skills, and a GitHub-first sprint workflow.