By athola
Drive feature development through structured specification, planning, and implementation workflows, with automated consistency checks, task generation, and progress tracking.
Cross-artifact consistency analysis across spec.md, plan.md, and tasks.md after task generation
Generate a custom checklist for the current feature based on user requirements.
Ask targeted questions to resolve spec ambiguities
Create/update project constitution from principle inputs, syncing dependent templates
Assess the codebase against spec, plan, and tasks, then append unbuilt work as new convergence tasks
Analyze specification artifacts for consistency, coverage, and quality issues. Use when checking spec quality, validating spec/plan/tasks alignment, debugging missing requirements, detecting ambiguity or underspecification. Do not use when writing specifications - use spec-writing skill. generating tasks - use task-generator agent. Trigger proactively during /speckit-analyze commands.
Generate dependency-ordered implementation tasks from specification and planning artifacts. Use when generating tasks from spec and plan, breaking down implementation work, creating ordered task lists, starting implementation phase. Do not use when analyzing specifications - use spec-analyzer agent. executing tasks - use implementation-executor agent. Trigger proactively during /speckit-tasks commands.
Execute implementation tasks systematically following the task plan with TDD approach and progress tracking. Use when executing implementation tasks from tasks.md, continuing implementation, implementing specific phases, systematic code generation. Do not use when generating tasks - use task-generator agent first. analyzing specs - use spec-analyzer agent. Trigger proactively during /speckit-implement commands.
Creates clear, testable specifications from feature descriptions with user stories. Use when starting a new feature and needing a spec before planning.
Orchestrates Spec Driven Development by coordinating spec, plan, and task skills. Use when running the full speckit workflow from spec to implementation.
Generates phased, dependency-ordered implementation tasks from specifications. Use after spec is complete and before starting implementation.
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:
Meta-skills infrastructure for Claude Code plugin ecosystem - skill authoring, hook development, modular design patterns, and evaluation frameworks
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
Create custom behavioral rules through markdown configuration files - prevent unwanted behaviors with pattern matching
Multi-source research plugin — code archaeology, community discourse, academic literature, and TRIZ cross-domain analysis with domain-adaptive depth
npx claudepluginhub athola/claude-night-market --plugin spec-kitSpec-driven development using GitHub spec-kit methodology. Constitution-first approach with specify, plan, tasks, and implement phases.
Skills-first specification-driven development framework with 7 agent skills for planning, implementation, review, and shipping. Natural language activation with intelligent agent orchestration. Includes /plan, /implement, /research commands plus managing-specifications, implementing-features, and reviewing-and-shipping skills.
Specification-Driven Development with Process Discipline for AI Agents
A spec-driven development kit for Claude Code: the prompt-grill and dev-lifecycle skills plus a specs/ scaffold that takes you from a vague request to shipped, reviewed code.
Spectacular skills/commands library for spec-anchored development and parallel task execution
Specification-driven development workflow: specify → plan → tasks → implement