Claude Skills by thedixitjain

| 6つの専門レビュアーロールを並列実行し、consensusLevel（複数ロールの合意度）と Tech Lead レポート（top3指摘・blindSpots・consensusSummary）で結果を統合する マルチエージェントレビュー entry skill。 Parallel multi-role review with consensus scoring (consensusLevel) and Tech Lead report. Use when a major release needs exhaustive multi-angle review, or when a single-perspective review is not enough and you want confidence that no reviewer angle was missed（重要リリース前の網羅レビュー・多視点の確証が 欲しいとき）。

Quality gate: verify each acceptance criterion of a completed task/work unit, run quality checks, and create follow-up tasks for gaps. Use before merging or to audit delivered work. Invoked as /agiflow:review-work <work-unit-or-task>. Uses get_work_unit, get_task, update_task, create_task, create_task_comment.

Post-implementation review orchestrator. Launches 5 parallel background sub-agents: Oracle (goal/constraint verification), Oracle (code quality), Oracle (security), unspecified-high (hands-on QA execution), unspecified-high (context mining from GitHub/git/Slack/Notion). All must pass for review to pass. MUST USE before a PR handoff or when the user explicitly asks to review completed work. Triggers: 'review work', 'review my work', 'review changes', 'QA my work', 'verify implementation', 'che...

Audit the debt registry, rank survivors by churn × Fowler quadrant, surface a top-N list, then walk paydown on user follow-up. Use when the user asks to review debt, see what to pay down, work through entries, or invokes $review. Stale entries drop with \"drop A,B,C\".

Revoke a previously-created AxonFlow session override — emits an audit event and ensures subsequent policy evaluations no longer consult it

Translates user intent into a precise, unambiguous specification and requirements.

| 一般コード品質のレビューエージェント。デフォルトのフォールバック先。 可読性、保守性、型安全性、ロギング等の個別スキルへルーティングする。

| River Review のメインエントリポイント。 レビュー依頼の intent classification → 専門 skill 選択 → 実行 → finding verification → feedback classification → fixture / reference / suppression への還元までを束ねる improvement-loop orchestrator。

Create and update Codex custom agents using standalone custom-agent TOML files.

Run one bounded Plan, Implement, and fresh

Ruflo is a multi-agent orchestration platform for AI coding agents (Claude Code, Cursor, Codex, Copilot, Gemini, Amp, +12 more). Use this skill when the user wants to (1) install/init ruflo in a project, (2) run multi-agent swarms with hierarchical coordination, (3) use ruflo's 314+ MCP tools for memory, routing, hooks, sub-agents, or workflows, (4) check ruflo status/version/doctor health, or (5) discover which of ruflo's 30+ plugins fits their task.

Evaluate Claude Code rules in .claude/rules/. Use for frontmatter, globs, and quality audits.

Use when the user asks about Codex Rules behavior, injected project rules, supported rule file locations, matching, or environment configuration.

Run a full pipeline for a task. Orchestrates roles through stages (standalone or HOTL-integrated).

Run reproducible DeepSWE coding-agent benchmark evaluations through OpenRouter and mini-swe-agent.

Author or improve the run-<unit> skill — a per-project skill that tells agents how to build, launch, and drive this project's app. Use when the user asks to set up the project, get it running, write run instructions, or verify build/run steps work from a clean environment.

Execute a single Todo task through In Progress to Review, meeting every acceptance criterion with tests and vibe-lint checks. Refuses Planning-status tasks. Invoked as /agiflow:run-task <task>. Uses get_task, update_task, create_task_comment.

Execute a work unit end-to-end: sequence tasks by dependency, implement, test between tasks, commit, and track progress. Use to deliver a complete feature in one session. Invoked as /agiflow:run-work <work-unit>. Uses get_work_unit, list_tasks, update_task, get_work_unit_progress.

Run a single experiment iteration. Edit the target file, evaluate, keep or discard. Use when the user runs /ar:run or asks for one manual autoresearch iteration.

Use when connecting observed behavior, logs, metrics, request IDs, run IDs, screenshots, traces, external dependency results, or artifacts into a runtime evidence loop.

>- Use when operating a live Runtype account through MCP or Code Mode MCP: inspect resources, debug failed flows or agents, read logs and traces, manage products, surfaces, records, schedules, secrets, models, evals, batches, conversations, client tokens, or make safe account mutations. Includes search/execute patterns, read-before-write, validation, pagination, and conservative destructive-change policy.

>- Use when building, designing, validating, or deploying Runtype AI products with agents, flows, tools, surfaces, records, secrets, schedules, evals, orchestration, webhooks, Slack/email/SMS/Telegram/Discord/WhatsApp/iMessage/messaging/chat/API/MCP/A2A/hosted-page surfaces, commerce tools, agent skills, or hosted product generation. Always fetch current MCP build instructions before creating resources.

>- Use when working with the Runtype TypeScript or Python SDK, FlowBuilder, BatchBuilder, EvalBuilder, CLI commands, Marathon long-running agent tasks, playbooks, model fallback, built-in CLI tools, sandboxes, code-first stored/upsert/virtual agents or flows, local tools, hidden parameters, or source-controlled Runtype workflows.

Design and review Rust roguelike procedural maps, map-builder traits, generator harnesses, field-of-view, spatial memory, Dijkstra/pathfinding, and simple monster AI. Use when adding dungeon generation, FOV, map memory, chasing behavior, or visibility-constrained AI to a Rust game.

Explore and prototype rvAgent + RVF integration for RuView agentic flows. Use when working on cross-cog coordination, operator-facing agents reading BFLD / pose / vitals events live, or persisting agent state alongside sensing data in the same RVF container.

Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer

Use this skill to prevent destructive operations when working on production systems or running agents autonomously.

Implement saga patterns for distributed transactions and cross-aggregate workflows. Use this skill when implementing distributed transactions across microservices where 2PC is unavailable, designing compensating actions for failed order workflows that span inventory, payment, and shipping services, building event-driven saga coordinators for travel booking systems that must roll back hotel, flight, and car rental reservations atomically, or debugging stuck saga states in production where comp...

Patterns for managing distributed transactions and long-running business processes.

Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.

Inspect disk pressure with SBH and run one

Stamp a bounded project, component, or CI

> This skill should be used when the user wants to \"create a new Python ADK sample\", \"scaffold a new Python sample recipe\", \"generate a new Python sample in contrib\", \"add a new Python sample to the adk-samples repository\", or \"create a Python adk sample\". It utilizes an automated script to copy template files and resolve basic placeholders.

| Use when starting hyperflow in a new project, refreshing the .hyperflow/ cache, or installing auto-detection shims (AGENTS.md, CLAUDE.md). One-shot project setup; does not start the spec → scope → dispatch chain. Trigger with /hyperflow:scaffold, \"init hyperflow\", \"set up hyperflow\", \"refresh hyperflow\", \"install hyperflow shims\".

Scans the codebase to generate project-doc.md and AGENTS.md. Use when bootstrapping a new agent-driven repo, refreshing project documentation after architectural changes, or running a delta scan to detect drift. Runs a full scan on first use and a smart delta scan on subsequent runs. Uses understand-anything + context-mode when available, falls back to native tools otherwise. Only updates AGENTS.md on detected architectural changes with human confirmation.

>- Analyzes git diffs against a stated intent to detect scope creep, unrelated files, broad pull requests, changes that grew beyond a fix, dependency additions, public API renames, config or CI edits, oversized hunks, and formatting-only files. Use when the user asks whether a change grew beyond the fix, a PR is too broad, or what unrelated stuff they touched, and wants keep, split, or justify guidance. Operates locally and offline.

Review the bead or caller intent write scope

Automate Scrapegraph AI tasks via Rube MCP (Composio). Always search tools first for current schemas.

Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.

Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.

Runs external LLM code reviews (OpenAI Codex or Google Gemini CLI) on uncommitted changes, branch diffs, or specific commits. Use when the user asks for a second opinion, external review, codex review, gemini review, or mentions /second-opinion.

Apply least-privilege tool allowlisting, identity binding, and human-in-the-loop controls for agent tool calls.

This skill should be used when the harness, scaffold, workflow, or optimizer itself is the optimization target: recursive self-improvement (RSI) loops, meta-harnesses, self-improving harnesses that mine their own failures and propose bounded edits, evolutionary or population-based search over agent scaffolds, acceptance gates for self-modifying systems, and agentic context evolution where the mechanism that produces context is versioned and evolved. Route governance of a single autonomous loo...

Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, extract recurring solutions into reusable skills. Use when: (1) reviewing what Claude has learned about your project, (2) graduating a pattern from notes to enforced rules, (3) turning a debugging solution into a skill, (4) checking memory health and capacity.

../../../engineering-team/self-improving-agent/skills/self-improving-agent/SKILL.md

Automate Sendbird AI Chabot tasks via Rube MCP (Composio). Always search tools first for current schemas.

Text the user's phone when a long-running task, agent turn, or scheduled job finishes — via @sendblue/cli for outbound, optionally wired to a Claude Code Stop hook for automatic fire.

Extracts the true audience mood and key feedback by analyzing comment sentiment and keyword frequency.

Diagnose Sentry issues without copy-pasting stack traces. Uses the Composio CLI to pull issue details, events, breadcrumbs, and suspect commits, then maps the frames to local source so the agent can propose a fix directly.

> Use this skill when performing a full session close-out: verifies all planned work against the agreed plan, creates issues for gaps, runs quality gates, commits cleanly, mirrors to GitHub, and produces a session summary. Triggered by /close command.