Classify the information-need of a query and dispatch it to the appropriate retrieval or reasoning strategy. Use before read-side memory access, before multi-strategy retrieval, or any time you'd otherwise default to "one retriever for everything". Returns a strategy label, a token budget, and a retrieval depth so downstream handlers can be specialised. Backed by Pre-Route (arxiv 2605.10235v2) and MemFlow (arxiv 2605.03312v1), which together show LLMs possess latent routing ability elicitable via a structured prompt — and that externalising the routing decision improves small-model performance by ~2x. Triggers: "route this", "what strategy", "before retrieving", "intent classification", or any query whose ideal handling depends on what KIND of question it is.
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。
Tibsfox/gsd-skill-creator☆ 712026年7月20日 更新
Foundational measurements and relationships. The axioms of the system — numbers, distance, angles, and the geometry of seeing.
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。
Tibsfox/gsd-skill-creator☆ 712026年7月20日 更新
Physical applications of mathematics. Constants, quantum mechanics, measurement — where abstract meets embodied.
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。
Tibsfox/gsd-skill-creator☆ 712026年7月20日 更新
OpenStack networking debug operations skill for SDN troubleshooting, packet tracing, and flow analysis. Covers OVS/OVN debugging (ovs-vsctl, ovs-ofctl, ovs-appctl, ovn-nbctl, ovn-sbctl, ovn-trace), security group analysis via OVS flow rules and conntrack, DHCP troubleshooting through namespace inspection and dnsmasq diagnostics, floating IP diagnosis with NAT rule and ARP verification, network namespace inspection (ip netns), MTU chain analysis for overlay networks, DNS resolution debugging, and east-west traffic diagnosis. Use when diagnosing network connectivity failures, tracing packets through the SDN stack, or analyzing flow tables in a running OpenStack cloud.
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。
Tibsfox/gsd-skill-creator☆ 712026年7月20日 更新
Image generation, photo editing, background removal — transparent PNG images, cutouts, ecommerce packshots, product catalogs, lifestyle shots via Bria.ai. Build store-ready e-commerce catalogs at scale — shadows, product dimensions images, lifestyle scenes, marketplace listing variants. ALWAYS use this skill when the user wants to generate, edit, or transform any image — hero images, banners, social media visuals, product photos, illustrations, icons, thumbnails, ad creatives, or marketing materials — or to build a product catalog, create a packshot, stage a lifestyle shot, remove a background, make transparent PNGs, or batch-process product photos. Triggers on packshot, product catalog, product shot creator, lifestyle shot, cutout, product dimensions image, inpainting, outpainting, object removal, upscale, photo restoration, style transfer, relight, reseason, sketch-to-photo. Commercially safe, royalty-free.
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。
Bria-AI/bria-skill☆ 692026年10月15日 更新
Cognitive superposition synthesizing Riehl (∞-categories), Sutskever (compression), Schmidhuber (curiosity-driven), and Bengio (GFlowNets) into unified ASI framework with quantum-inspired measurement collapse.
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。
plurigrid/asi☆ 682026年7月10日 更新
Analyze code changes for security vulnerabilities using LLM reasoning and threat model patterns. Use for PR reviews, pre-commit checks, or branch comparisons.
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。
plurigrid/asi☆ 682026年7月10日 更新
Maps the 18 OCapN/CapTP/E-rights patterns reinvented piecemeal across codex-rs to their canonical Spritely/Goblins equivalents and the hermes-* bridge skills that formalize each correspondence. Use when auditing capability architecture in codex-rs, planning a Hoot/Goblins port, or reasoning about which E-rights primitive a codex-rs module implicitly implements.
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。
plurigrid/asi☆ 682026年7月10日 更新
Bengio's causal inference for AI: Interventional reasoning, counterfactuals, and System 2 deep learning. World models with causal structure.
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。
plurigrid/asi☆ 682026年7月10日 更新
Query CZ CELLxGENE Census (61M+ cells). Filter by cell type/tissue/disease, retrieve expression data, integrate with scanpy/PyTorch, for population-scale single-cell analysis.
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。
plurigrid/asi☆ 682026年7月10日 更新
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
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。
plurigrid/asi☆ 682026年7月10日 更新
Sheaves on time categories for compositional temporal reasoning. Bumpus et al. narrative framework with adhesion filter FPT algorithms and Gay.jl color 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。
plurigrid/asi☆ 682026年7月10日 更新
Coordinated botnet takedown methodologies — sinkholing, infrastructure mapping, legal frameworks, BGP intervention, and post-disruption analysis. Studies Operation Endgame, Badbox 2.0, and emerging blockchain C2 countermeasures. Defensive disruption for authorized law enforcement, CERT, and academic research contexts.
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。
plurigrid/asi☆ 682026年7月10日 更新
Lee Cronin's Assembly Theory for molecular complexity measurement and life detection via assembly index computation.
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。
plurigrid/asi☆ 682026年7月10日 更新
Measure encoding/decoding throughput across Syrup implementations. This skill provides bandwidth benchmarks for comparing serialization performance.
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。
plurigrid/asi☆ 682026年7月10日 更新
Prepare your codebase for security review using Trail of Bits' checklist. Helps set review goals, runs static analysis tools, increases test coverage, removes dead code, ensures accessibility, and generates comprehensive documentation (flowcharts, user stories, inline comments). (project, gitignored)
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。
plurigrid/asi☆ 682026年7月10日 更新
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.
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。
plurigrid/asi☆ 682026年7月10日 更新
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
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。
plurigrid/asi☆ 682026年7月10日 更新
Attiya-Bar-Noy-Dolev atomic register emulation over message-passing. Load when designing quorum-based distributed storage, proving linearizability, or reasoning about fault-tolerant shared memory.
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。
plurigrid/asi☆ 682026年7月10日 更新
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
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。
plurigrid/asi☆ 682026年7月10日 更新
Audit and safely clean Xcode-related developer storage on macOS. Use whenever a developer mentions low disk space, Xcode storage, DerivedData, simulator devices or runtimes, stale beta platforms in Xcode Settings, DeviceSupport, archives, dSYMs, CocoaPods caches, simulator dyld caches, project .build folders, downloaded Xcode DMGs/XIPs, duplicate Xcode installers, or old Xcode applications. Also use this skill proactively when you hit low storage during other work, such as a build, download, or install failing with an out-of-disk-space error. Always measure first, report recoverable GiB with evidence, and obtain explicit itemized approval before any mutation.
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。
AvdLee/Xcode-Disk-Cleanup-Agent-Skill☆ 682026年9月14日 更新
Build and navigate DSP (Data Structure Protocol) — graph-based long-term structural memory of codebases for LLM agents. Stores entities (modules, functions), their dependencies (imports), public API (shared/exports), and reasons for every connection. Use when: (1) project has a .dsp/ directory, (2) user asks to set up DSP or bootstrap project structure, (3) creating/modifying/deleting code files in a DSP-tracked project, (4) navigating project structure, understanding dependencies, or finding modules, (5) user mentions DSP, dsp-cli, .dsp, or structure mapping.
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。
k-kolomeitsev/data-structure-protocol☆ 682026年8月10日 更新
Enforce mandatory pre-action verification checkpoints to prevent pattern-matching from overriding explicit reasoning. Use this skill when about to execute implementation actions (Bash, Write, Edit) to verify hypothesis-action alignment. Blocks execution when hypothesis unverified or action targets different system than hypothesis identified. Critical for preventing cognitive dissonance where correct diagnosis leads to wrong implementation.
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。
Jamie-BitFlight/claude_skills☆ 672026年10月14日 更新
Start a local Git rebase when the user explicitly requests replay of a named source ref, or of the current branch, onto a named target, including a rebase-then-push request, which carries exact-lease publication to the branch's own remote destination, or continue or abort an active rebase. Use only when local history replay will start or is active; do not use for merge-based branch updates, repository merge settings, pull-request or merge-request merging, or push-only requests.
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。
Jamie-BitFlight/claude_skills☆ 672026年10月14日 更新