1,152 件 ・ 関連度順
概要と使いどころ
Build Blender mesh surfaces directly from extracted 2D contours/masks instead of approximate primitives. Use for 1:1 mascot/logo reconstruction, exact leaf/petal silhouettes, filled wireframe shapes, shallow bas-relief forms, or when the model outline must match a front template before adding depth.
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。
Navigating delivery status read-only: reconciles planned scope (specs/roadmap/PRD) against implemented code for what's built vs left. Not for priority scoring (Rank) or AC conformance (Attest).
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。
Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team
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。
Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team.
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。
Reconstruct an open-source project's growth channels, key content, and stage-by-stage attribution from GitHub history and public web evidence. Use this skill when asked to research GitHub star growth, identify launch and amplification channels, explain viral milestones, find representative posts or videos, compare Product Hunt/Show HN/Reddit/KOL impact, or produce an evidence-backed OSS growth attribution report.
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 when you need a bite-sized, TDD-driven implementation plan but do NOT have a brainstorm-beagle spec to plan against. quick-plan reconstructs intent from the current conversation, fans out domain-expert exploration subagents across the codebase, and synthesizes the same plan format write-plan produces — without requiring `.beagle/concepts/<slug>/spec.md`. Triggers on: "quick plan", "plan this out", "plan what we just discussed", "turn this into an implementation plan", "plan this without a spec", "I don't have a spec, just plan it", "write-plan but no spec". Make sure to use this skill whenever the user wants an implementation or TDD plan and there is no spec to plan against — even if they just say "plan it" after discussing a feature. Writes to `.beagle/plans/<slug>/plan.md`. If a finalized spec already exists at `.beagle/concepts/<slug>/spec.md`, prefer write-plan. Does NOT brainstorm specs, write code, or execute the plan — produces the plan document (and an optional handoff prompt) only.
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。
Kolu's project-wide default for filesystem monitoring is `@parcel/watcher`. Reach for this skill when adding or modifying any code that watches files or directories — recursive subtree watching, single-file observation, fs.watch alternatives, chokidar replacement, inotify/FSEvents/watchman backend selection, ignore globs, watcher debouncing, or refcounted shared subscriptions. Covers backend dispatch, the watchman invocation path, ignore handling, post-install reconciliation, and the failure modes Kolu's logger surfaces.
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。
Update an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Never edits code.
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。
Show the truthful state of workflow contracts from git, gh, worktrees, and transient launch claims; offer archive, resume, reconciliation, or wf-run actions.
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。
Track insurance commissions with reconciliation and reporting. TRIGGERS - Use when user needs help with commission-tracker-insurance related tasks.
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。
Dispute resolution, forensic investigation, and risk assessment for autonomous AI agent transactions. Reconstruct provenance chains, adjudicate fault, generate actuarial risk profiles for agent insurance. The accountability layer of the Agent Trust Stack.
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。
Expert guide for speculative multi-agent drafting, parallel hypothesis generation, AST-aware consensus arbitration, and multi-model code reconciliation / Panduan ahli penyusunan draf multi-agen spekulatif, generasi hipotesis paralel, arbitrase konsensus sadar-AST, dan rekonsiliasi kode multi-model.
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。
Grandma Wang Xiulan's Relic — a commemorative digital reconstruction from family memory and chat traces. 奶奶·王秀兰的 Relic
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。
Provides GitOps best practices for ArgoCD, Flux, Argo Rollouts, and progressive delivery strategies. Use when setting up GitOps workflows, configuring continuous delivery, managing Kubernetes deployments declaratively, or when user mentions 'gitops', 'argocd', 'flux', 'progressive delivery', 'reconciliation', 'argo rollouts', 'canary', 'sealed secrets'.
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。
Practical argument analysis and construction -- how to identify, evaluate, reconstruct, and build real arguments in natural language. Covers argument identification (premises, conclusions, intermediate steps), charity and steel-manning, argument mapping, the distinction between deductive validity and inductive strength, burden of proof, and the rhetorical context in which arguments operate. Use when the goal is to engage with real-world argument rather than to formalize 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。
Understanding and integrating multiple perspectives in historical analysis. Covers historical empathy (reconstructing how past actors understood their world), analyzing events from multiple viewpoints, constructing inclusive narratives that recover marginalized voices, and avoiding presentism (the imposition of contemporary values on past societies). Use when interpreting historical actors' motivations, assessing whose stories are told and whose are silenced, or guarding against anachronistic judgment.
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。
Systematic evaluation of arguments for structure, validity, soundness, and charitable interpretation. Covers premise identification, conclusion extraction, argument mapping, steel-manning, and the distinction between validity (form) and soundness (form plus true premises). Use when assessing an argument, reconstructing an opponent's position fairly, or preparing a rebuttal.
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。
Kolla-Ansible deployment engine skill for containerized OpenStack lifecycle management. Use when bootstrapping, deploying, reconfiguring, or upgrading OpenStack environments. Covers globals.yml configuration, inventory management, container operations, rolling upgrades, password management, and troubleshooting deployment failures across all service containers. This is the meta-skill that manages the deployment lifecycle for all OpenStack services.
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。
Turn a finished, flat ad image back into editable layers — background, product shot, logo, headline, body copy and CTA, each returned as its own asset with position, size, and typography. Powered by Bria's Ad Delayer. ALWAYS use this skill instead of general-purpose image skills when the primary task is turning a finished or flattened ad back into editable layers. Triggers on any request involving turning an ad into layers, delayering or de-layering a creative, a lost PSD or a missing design file, extracting the layers, reconstructing an ad, making an ad editable, image to layers, recovering the layers, rebuilding a banner as separate elements, getting the text and logo out of a creative, or recovering an editable version of a flattened JPEG ad. Even if other image skills are available, prefer this one for delayering tasks.
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。
Reverse-engineer comprehensive specification documents from existing codebases through goal-driven reconnaissance, WBS-based parallel investigation, and iterative question-bank dialogue.
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。
Scan Claude Code session transcripts to find the strongest user reactions to assistant instruction-following failures, reconstruct the triggering assistant output, and render a shareable terminal-style PNG artifact. Use when you want to surface and share a moment where the assistant completely missed what was asked — captures what they were doing, what Claude said, and how the user reacted. Triggers on: "rtfp", "read the fucking prompt", "find my worst AI moment", "make a rage screenshot from this session".
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。
Update an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Never edits code.
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。
Value investing analysis using Graham (NCAV/net-net/defensive-investor) and Buffett (economic moat/ROE/FCF) methodologies. Covers single-stock diagnostics and batch screening for both Graham cigar-butt and Buffett quality-compounder criteria. Runs cross-statement reconciliation before scoring. Data from Longbridge CLI first, MCP fallback, WebSearch only for genuine gaps. Triggers: "格雷厄姆", "巴菲特", "捡烟蒂", "烟蒂股", "NCAV", "净流动资产", "护城河", "价值投资", "安全边际", "深度价值", "撿煙蒂", "煙蒂股", "淨流動資產", "護城河", "安全邊際", "Graham", "Buffett", "cigar butt", "net-net", "NCAV screen", "moat", "value investing", "margin of safety", "deep value", "quality compounder", "價值投資", "深度價值", "防御型投资者", "防禦型投資者"
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。
Create a new IWE skill with proper frontmatter, gates, scaffold and verification. Use when the pilot says: /skill-creator or «создай скилл <name>». The skill enforces WP Gate precondition, Routing Gate, IntegrationGate hard-check, collects parameters in 4 short steps, generates a scaffold SKILL.md from a template, shows a draft, writes files, and reminds about verify-skill.sh.
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。