Find plugins

by Software Factory contributors

Cross-harness delivery, review, Agent-Native, visual, and software-factory skills for production work.

by peterwangze

AI coding delivery trust layer for governance-aware coding agents. Tracks goals, evidence, risks, quality budgets, and release readiness without making broad runtime claims.

by solidforge

A Loop Engineering system for AI coding agents — one Claude Code plugin. Bundles the converge → specify → implement pipeline plus two additive outcome-axis layers (cited-source verification + uncited-prior-art collision): the cross-source-review, blueprint-crafting, parallel-development, primary-source-verification, and prior-art-search skills; 23 cascaded subagents (plugin-scoped as solidforge:<name>); and the deterministic convergence-loop hooks (fast-gate, blueprint read-only guard, breaker counters). Enable per-project (Layer 1); run /solidforge:arm-tools to provision gate tools + arch-configs + constitution (Layer 2).

by Sameer Modha

Ring a repo, and a Claude answers — repo-addressed peer messaging for Claude Code sessions. CLI plus the peer-messaging skill.

by jabworks

Catalog and browse a growing specs/ tree: a plain-markdown index any agent can reference, plus a folder-grouped doc site reusing the plan-review renderer.

by Stanley

Portable three-stage code review for any git repository.

by Girijesh

Spec/design-driven engineering workflow: spec -> plan -> implement -> review -> finish, with supporting standards, architecture, and debugging disciplines

by Jaison Erick

Spec-driven project execution pipeline, from ideation to verified deliverables, orchestrated by AI agents. Works with any project type. Built on a team of subagents plus a tool-use hook, so it needs an agent that can run plugin-provided subagents and hooks.

by AgentRelay Maintainers

Score a worker task spec before dispatch: a TypeSafe Jev battery checks the five contract fields and a pure-code policy returns dispatch, clarify (naming the weak fields), or escalate. Shadow mode first (MCP server + skill).

by Stanley

Language-agnostic multi-agent pipeline for spec-driven development: orchestrates role sub-agents in parallel waves to produce grounded contract files under specs/<name>/ — spec.md, plan.md, task.md (the status holder), tech-spec.md, test.md — plus survey.md and research.md as evidence, all verified by scripts/check.py.

by Simon Heimlicher

Spec Tree: git-native product structure for Outcome Engineering, with commit workflow, Change coordination, and TDD flows driven by specs

by Simon Heimlicher

Spec Tree: git-native product structure for Outcome Engineering, with commit workflow, Change coordination, and TDD flows driven by specs

by Simon Heimlicher

Spec Tree: git-native product structure for Outcome Engineering, with commit workflow, Change coordination, and TDD flows driven by specs

by Claude Code Skills

Systematic analysis and refinement of specifications with SEAMS framework, sequential clarification questioning, and multi-phase workflow

by Claude Code Skills

Project-focused specification and task management with PLANS taxonomy, ADR-style architecture decisions, SMART acceptance criteria, SEAMS-enhanced clarification, tech-specific designer agents, anti-pattern detection (50 patterns across 5 tech stacks), 4-level verification (stub detection + wiring checks), execution orchestration (deviation rules, checkpoint taxonomy, auth gates, session continuity), specialized analysis agents, git checkpoints, mandatory approval gates, and session-memory hooks. Outputs to speckit/ directory.

by Tyrone Ross

Product screenshots and demo clips go stale the moment the UI changes, and re-shooting them by hand costs an afternoon. Spectra drives your running app across web, macOS, iOS, and watchOS to capture screenshots, videos, and narrated walkthroughs, then files every asset in a searchable tagged library. You get publish-ready visuals for docs, launch posts, and App Store previews without reshooting.

by Spellcast

Spellcast desktop Canvas and independent asides for the current Codex task.

by Spicrawl

Scrape web pages to Markdown, HTML, text or JSON, run batch jobs, keep login sessions, and read request history and usage, through the hosted Spicrawl MCP server.

Справка по самому продукту Spine AI/ML Edition: скилл check-spine-aiml-docs отвечает на вопросы о харнессе (бинарь arch-ml, доменные инструменты, fitness-правила, модельная матрица, мост библиотеки) по документации репозитория, а не по памяти.

by Simple Project

SPipe guarded release planning, process guidance, and MCP tools.

by Simple Project

SPipe guarded release planning, process guidance, and MCP tools.

by Fixture Author

Queues long-running checks and reports their results as they finish. Read-only except analysis/spool/.

Agent plugin for Spring Boot and htmx reference resources for Copilot customizations.

by OtterMind

List saved OtterMind SQLX datasources, test connections, run SQL against MySQL, MariaDB, TiDB, GreatSQL, OceanBase, PostgreSQL, CockroachDB, YugabyteDB, openGauss, Oracle, SQL Server, ClickHouse, Trino, StarRocks, Apache Doris, TDengine, Dameng and KingbaseES, run Redis commands and MongoDB command documents, and open local result pages. Credentials stay in the SQLX data directory.