Plugins

Plan creation and review on demand or via ambient activation — /plan-agent:implementation-plan skill (command or model-invocable) produces self-contained interactive HTML plans with a rich copy-paste implement prompt (includes status, steps, acceptance criteria, and completion instructions), an always-present outcome-driven goal prompt (achieve the objective using the plan as reference but optimizing for the outcome), a one-click Save as PDF export button, and optional workflow prompt for complex plans; auto-activates on plan-document intent without colliding with built-in Plan Mode; /plan-agent:review-plan skill spawns a seven-reviewer Agent Team (architecture, completeness, testability, risk, conventions, UX, accessibility) to review implementation plans, synthesize findings, apply improvements in place, and emit shareable HTML review artifacts; /plan-agent:finalize-plan skill reviews a plan for completion evidence with per-criterion verification, checks acceptance-criteria boxes (all or only verified, per user choice), and sets status to completed or in-progress accordingly; accepts GitHub/GitLab issue URLs and #n references to auto-seed plans from backlog; accepts .md plan paths for conversion mode that turns an existing markdown plan into the HTML format with frontmatter carry-over and a keep-or-remove source prompt; built-in structured interview; mandatory acceptance criteria gate during implementation; Step 8 exit menu offers Review the plan option that runs the review-plan Agent Team on the current plan (foreground or background) before implementing; adaptive menu swap keeps all options within the 4-option limit; /plan-agent:refine-prompt skill interviews users and generates copy-pasteable AI prompts grounded in Anthropic best practices (role, XML structure, CoT, examples, output format); plans-open skill reopens the gallery without rebuilding; PostToolUse hook auto-regenerates the gallery index; filename hook enforces verb-target kebab-case; /plan-agent:build-proposal skill turns a vague idea into a decision-complete proposal under docs/proposals/ via an 8-step research-then-decide loop with a Tier 0/1/2 right-sizing gate, grounding claims in web + codebase research and separating facts from decisions, then hands the proposal to implementation-plan for execution planning; /plan-agent:setup-sites skill scaffolds the GitHub Pages deploy pipeline into any repo (deploy-pages.yml workflow, docs/.nojekyll, landing hub, serve-docs.sh preview), computes the live URL from the git remote, and guides the one-time Settings → Pages → GitHub Actions step so generated docs/ HTML publishes to a public URL

Plan creation and review on demand or via ambient activation — /plan-agent:implementation-plan skill (command or model-invocable) produces self-contained interactive HTML plans with an opt-in Resources section (images, screenshots, and reference links used to create the plan, so readers can illustrate and verify the implementation), a rich copy-paste implement prompt (includes status, steps, acceptance criteria, and completion instructions), an always-present outcome-driven goal prompt (achieve the objective using the plan as reference but optimizing for the outcome), a one-click Save as PDF export button, and optional workflow prompt for complex plans; auto-activates on plan-document intent without colliding with built-in Plan Mode; /plan-agent:review-plan skill spawns a seven-reviewer Agent Team (architecture, completeness, testability, risk, conventions, UX, accessibility) to review implementation plans, synthesize findings, apply improvements in place, and emit shareable HTML review artifacts; /plan-agent:finalize-plan skill reviews a plan for completion evidence with per-criterion verification, checks acceptance-criteria boxes (all or only verified, per user choice), and sets status to completed or in-progress accordingly, with an --all sweep mode that discovers done-but-unmarked plans across the plans directory and batch-finalizes them behind one multi-select confirmation; accepts GitHub/GitLab issue URLs and #n references to auto-seed plans from backlog; accepts .md plan paths for conversion mode that turns an existing markdown plan into the HTML format with frontmatter carry-over and a keep-or-remove source prompt; built-in structured interview; mandatory acceptance criteria gate during implementation; Step 8 exit menu offers Review the plan option that runs the review-plan Agent Team on the current plan (foreground or background) before implementing; adaptive menu swap keeps all options within the 4-option limit; /plan-agent:refine-prompt skill interviews users and generates copy-pasteable AI prompts grounded in Anthropic best practices (role, XML structure, CoT, examples, output format); plans-open skill reopens the gallery without rebuilding; PostToolUse hook auto-regenerates the gallery index; filename hook enforces verb-target kebab-case; /plan-agent:build-proposal skill turns a vague idea into a decision-complete proposal under docs/proposals/ via an 8-step research-then-decide loop with a Tier 0/1/2 right-sizing gate, grounding claims in web + codebase research and separating facts from decisions, then hands the proposal to implementation-plan for execution planning; /plan-agent:setup-sites skill scaffolds the GitHub Pages deploy pipeline into any repo (deploy-pages.yml workflow, docs/.nojekyll, landing hub, serve-docs.sh preview), computes the live URL from the git remote, and guides the one-time Settings → Pages → GitHub Actions step so generated docs/ HTML publishes to a public URL; /plan-agent:prototype skill turns a completed HTML plan, a one-line idea, an image/screenshot/mockup, or a Figma design into a runnable, framework-free static-HTML prototype under docs/prototypes/ (inline JSON seed + per-prototype localStorage, escaped output, accessibility baked in), auto-indexed into a Prototypes gallery reachable from the docs hub

Researches and plans complex work, then executes it with an evidence-gated builder-and-validator team — pre-plan, plan-with-team, and build, plus a tech-stack doctor.

Plan with Opus, write an implementation spec, delegate each step to Sonnet or Opus based on fit, then review and integrate.

The shape of a plan document — show every change as a real before/after diff, not prose. Use when entering plan mode, starting to plan a code change, writing or editing a plan file, or before calling ExitPlanMode.

Asks for confirmation when entering plan mode with a non-Opus model

Stress-test implementation plans with structured multi-round interviews before coding begins — auto-routes product plans to the panel review skill, always emits an interview HTML artifact

Stress-test implementation plans with structured multi-round interviews before coding begins — auto-routes product plans to the panel review skill, always emits an interview HTML artifact

한글 기능/서비스 기획서를 4개 병렬 에이전트로 리뷰합니다. 명확성, 완결성, 일관성, 실행가능성을 검토하고 리포트만 출력합니다.

Closed-loop plan-review gate on ExitPlanMode: Codex unknowns audit + agentic-investigation gate, /investigate-plan, /waive-investigation.

Staff engineer review agent, plan-with-review skill, and resolve-dependabot skill

plan mode で作成された実装プランをエージェントが批判的にレビュー

Take a Markdown implementation plan, run it through a parallel agent swarm with per-wave verification, and generate a bug-fix plan for re-runs; TDD red-green mode on by default (--no-tdd to disable) with per-task red/green gate evidence; auto-detects Claude Code Agent Teams for token-lean orchestration with a subagent fallback. Tallies best-effort token usage for every dispatched subagent (analyzer, dev agents, verifiers, aggregator) into manifest.json token_usage with a grand total and honest coverage counters, surfaced in dashboards, an end-of-run per-phase Token Report with top consumers, and the PR stats. On the teams backend each wave is verifier-gated: the lead waits on the verifier's actual task result (never self-verifies) and a coverage gate before aggregation backfills any missing verdict, so a PR cannot open while a verifier is still outstanding. git is optional: when absent (no binary or not a repo) all git operations are skipped. Before opening the PR, syncs a code-atlas architecture index (runs /code-atlas:update when .code-atlas/ is present) so the index reflects what was implemented. Verification coverage is configurable via a .plan-runner.yml verify_mode (per-agent | per-wave | last-wave-only) or a --verify flag; lower modes verify fewer waves, record the rest as SKIPPED (distinct from UNVERIFIABLE), and force a draft PR with a banner. Final step opens or updates a proper PR via the plan-runner:pr skill (conventional title, rich body, draft when bugs remain).

主代理对齐方案+整理文档，子代理串行/并行落盘。auto 模式通过团队并行分发实现子代理

Plugin from it-bens/ai-tools

Plugin from it-bens/ai-tools

Bootstraps the plan-driven workflow into any repository via /init-my-repo.

Connects Claude to your Planafoot quests at https://planafoot.com/mcp and ships a SKILL.md teaching the planning, recovery, and undo flows.

PlanBridge — opens plan reviews in the browser on ExitPlanMode.

An authenticated hosted MCP server that accesses your PlanetScale organizations, databases, branches, schema, and Insights data. Query against your data, surface slow queries, and get organizational and account information.

An authenticated hosted MCP server that accesses your PlanetScale organizations, databases, branches, schema, and Insights data. Query against your data, surface slow queries, and get organizational and account information.

An authenticated hosted MCP server that accesses your PlanetScale organizations, databases, branches, schema, and Insights data. Query against your data, surface slow queries, and get organizational and account information.

PLAN.md execution plugin for Claude Code that runs every task through an implementation subagent, objective quality gate, and independent reviewer before completion. It auto-detects stack commands across Node, Python, Kotlin, Go, Rust, and Swift, supports custom command overrides, and manages phase workflows for branch setup, checkpointed orchestration, troubleshooting investigations, and pre-PR validation.

Skill de análisis (skill planificar): interroga un plan contra la sabiduría del repo y lo critica. Reemplaza grill-with-docs. Operacional, no se instala por-repo.

The Plan role of the PMCR-O loop — passive, composable. Provides: planner.

from djalmaaraujo/claude-code-plugins

from GGPrompts/TabzChrome

Intelligent orchestration for Microsoft Planner — ship tasks with Claude Code, triage backlogs, plan sprint buckets, monitor deadlines, and balance workloads across plans. Integrates with microsoft-teams-mcp, microsoft-outlook-mcp, and powerbi-fabric when installed.

Microsoft Planner and To Do task management via Graph API — classic plans, Premium Dataverse projects, buckets, tasks, assignments, checklists, nested plans, roster plans, sprints, goals, and Business Scenarios

Planning skills: executing implementation plans and roadmap planning.