By athola
Build a code knowledge graph from your codebase, then test and reinforce understanding through adaptive challenges with spaced repetition. Accelerate onboarding with guided stages and prevent knowledge atrophy.
Run an ad-hoc gauntlet challenge session (5 questions, random scope)
Rebuild the knowledge base from the current codebase
Show challenge accuracy stats, weak areas, and streak
Start or resume a guided onboarding path
Add or edit a knowledge annotation
Presents adaptive codebase challenge questions with multiple-choice and trace exercises. Use when testing contributor knowledge of the codebase.
Adds developer-authored annotations to the gauntlet knowledge base. Use when capturing tribal knowledge or rationale not visible in code.
Builds the gauntlet knowledge base from AST extraction and AI enrichment. Use when initializing or refreshing codebase knowledge for challenges.
Audits the DSA problem bank for coverage gaps and proposes new YAML entries. Use when refreshing the problem bank during update-plugins runs.
Builds or updates the code knowledge graph via tree-sitter AST and SQLite. Use when setting up the graph before search or blast-radius analysis.
Executes bash commands
Hook triggers when Bash tool is used
Uses power tools
Uses Bash, Write, or Edit tools
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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 gauntletMeta-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
Personalized coding tutorials that use your actual codebase for examples with spaced repetition quizzes
In-context coding tutor for Claude Code. Learn from your real project with explanations, quizzes, diagnostics, and belt-based progression — locally and privately.
Codebase exploration with structured analysis and optional knowledge base creation
Development workflow skills, commands, and hooks from claude-toolbox
Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.
Generate personalized, annotated code-reading tutorials from your own codebase. Three surfaces (tutorial generation, vocabulary management, learning-state inspection), six writing-to-learn entry points, and five audience-facing entry points. Tracks vocabulary with a status state machine.