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Answer a question from the structured wiki before searching the web — "query the wiki", "what do we know about", synthesis request, cross-project research. Returns cited synthesis with wikilinks and counter-arguments.
日本語の概要は準備中です。原文の説明を表示しています。
Decide what to build — product strategy, roadmap, feature prioritization, product-market fit, pricing model, backlog, sprint planning, product vision, RICE, JTBD, OKRs. Distinct from designing or building it.
日本語の概要は準備中です。原文の説明を表示しています。
Triage an email inbox — "triage my inbox", "sort my inbox", "what emails need a reply", "clear my inbox". Governs the Gmail or Workspace connector you already have rather than shipping its own integration.
日本語の概要は準備中です。原文の説明を表示しています。
Cross-session memory — store, recall and query project knowledge across sessions. Detects whatever persistent memory is available (MemPalace, claude-mem, or file-only fallback) and uses the best one present.
日本語の概要は準備中です。原文の説明を表示しています。
Write and restore session state — session start, session end, memory write, handoff, continuation. Enforces what gets persisted so the next session resumes instead of restarting.
日本語の概要は準備中です。原文の説明を表示しています。
Build a throwaway HTML or in-app prototype that answers one design question. Use when the user wants to try a state model or UI idea before committing, or says "mock it up", "prototype", "what should this look like".
日本語の概要は準備中です。原文の説明を表示しています。
Stop — that last message did not land. Re-pitch it in plain language.
日本語の概要は準備中です。原文の説明を表示しています。
Distill your previous response into its leanest form. Use when the user says "tldr", "too long", "shorter", or asks you to condense or summarise what you just said.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze V8 heap snapshots to investigate memory leaks and retention issues. Use when given .heapsnapshot files, asked to compare before/after snapshots, asked to find what retains objects, or investigating why objects survive GC. Provides snapshot parsing, comparison, retainer-path helpers, and scratchpad scripts.
日本語の概要は準備中です。原文の説明を表示しています。
Use this agent when the user needs to upgrade Anthropic SDK packages. This includes: upgrading @anthropic-ai/sdk or @anthropic-ai/claude-agent-sdk to newer versions, migrating between SDK versions, resolving SDK-related dependency conflicts, updating SDK types and interfaces, or asking about SDK upgrade procedures. Examples: 'Upgrade the Anthropic SDK to the latest version', 'Help me migrate to the latest claude-agent-sdk', 'What's the process for upgrading Anthropic packages?'
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when the user asks to 'plan my day', 'help me plan today', 'morning planning', 'what should I work on today', 'daily planner', 'evening reflection', 'reflect on my day', 'migrate tasks', 'carry tasks forward', 'rapid log', 'brain dump my tasks', or mentions ADHD-friendly planning, time-blindness, swim lanes, energy-based task management, bullet journal for ADHD, or dopamine menu. Provides a BuJo-style daily planning system with swim lanes, migration, reflection, and dopamine rewards. Part of the ADHD-founder.com ecosystem.
日本語の概要は準備中です。原文の説明を表示しています。
Build next-session A-share game plans from market structure, overnight macro shocks, policy timing, and watchlist leadership. Use when the user asks what A-shares may do tomorrow, which sectors may repair first, how to read the open, or wants a reusable pre-open discretionary decision workflow.
日本語の概要は準備中です。原文の説明を表示しています。
Migrate a user's OpenClaw customization footprint into Hermes Agent. Imports Hermes-compatible memories, SOUL.md, command allowlists, user skills, and selected workspace assets from ~/.openclaw, then reports exactly what could not be migrated and why.
日本語の概要は準備中です。原文の説明を表示しています。
Pitfalls, examples, and edge cases for Hermes Kanban workers. The lifecycle itself is auto-injected into every worker's system prompt as KANBAN_GUIDANCE (from agent/prompt_builder.py); this skill is what you load when you want deeper detail on specific scenarios.
日本語の概要は準備中です。原文の説明を表示しています。
Fact-check an implementation plan against the real codebase and first-party documentation, flagging inaccuracies with what / why / evidence and a severity tier. Use when the user wants a plan reviewed or validated for accuracy, runs /review-plan, or wants a plan checked against real code before implementing. Accepts a Beads issue, a filesystem path, or a plan pasted into chat.
日本語の概要は準備中です。原文の説明を表示しています。
Phase 4 of the Forge pipeline. Summarize the whole workload — what was built, which Beads issues closed, a before/after, and a step-by-step walkthrough the user can run to verify it themselves — then run quality gates, push, and open the PR. Use when starting /forge-ship or the ship step of /forgemaster.
日本語の概要は準備中です。原文の説明を表示しています。
Phase 1 of the Forge pipeline. Gather real context from the codebase, answer everything the code can answer through exploration, then grill the user one question at a time (with a recommended answer) for only what code cannot answer, and write a research document. Use when starting /forge-research or the research step of /forgemaster, or when the user wants a research-first investigation before planning a feature.
日本語の概要は準備中です。原文の説明を表示しています。
AI-powered skill recommendation engine for dotnet-harness. Analyzes project context and recommends relevant skills based on detected frameworks, packages, and patterns. Triggers on: recommend skill, suggest skills, what skill should I use, skill suggestion, project analysis recommendation.
日本語の概要は準備中です。原文の説明を表示しています。
AI-powered skill recommendation engine for dotnet-agent-harness. Analyzes project context and recommends relevant skills based on detected frameworks, packages, and patterns. Triggers on: recommend skill, suggest skills, what skill should I use, skill suggestion, project analysis recommendation.
日本語の概要は準備中です。原文の説明を表示しています。
Post-mortem investigation for failed GSD workflows — analyzes git history, artifacts, and state to diagnose what went wrong
日本語の概要は準備中です。原文の説明を表示しています。
Facilitate structured post-incident reviews to identify root causes, document what worked and failed, and produce actionable recommendations to improve future incident response.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain framework to identify which phases an adversary has completed, where defenses succeeded or failed, and what controls would have interrupted the attack at earlier phases. Use when conducting post-incident analysis, building prevention-focused security controls, or mapping detection gaps to kill chain phases. Activates for requests involving kill chain analysis, intrusion kill chain, attack phase mapping, or Lockheed Martin kill chain framework.
日本語の概要は準備中です。原文の説明を表示しています。
Guide for testing code changes in AEM Edge Delivery projects including blocks, scripts, and styles. Use this skill after making code changes and before opening a pull request to validate functionality. Covers unit testing for utilities and logic, browser testing with Playwright, linting, and guidance on what to test and how
日本語の概要は準備中です。原文の説明を表示しています。
Triage AEM Workflow issues on AEM as a Cloud Service by classifying symptoms, gathering the right logs and metrics, and mapping to runbooks or Splunk searches. Use when the user asks for workflow activity/errors on a Cloud Service host, needs to classify a Jira ticket, or wants to know what to collect for workflow debugging.
日本語の概要は準備中です。原文の説明を表示しています。