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Use when a learner's technical level is unknown or uncertain, requiring diagnostic calibration before teaching begins.

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。

Wardley Mapping for strategic positioning — map your value chain from customer need to underlying components, plot where each component sits on the evolution curve (novel to commodity), and spot the strategic plays that movement creates. Use this skill when someone wants to understand where their industry is heading, whether they're building things they should be buying, where competitors are vulnerable, what's about to become commoditised, or why their competitive advantage is eroding. Triggers on questions about build-vs-buy, component evolution, value chain analysis, commoditisation risk, or strategic positioning relative to market movement. Three modes — full diagnostic (build a map from scratch), review (update positions and reassess), and alert triggers (set tripwires for when components move). Based on practice by Eterdis (eterdis.com).

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Guided setup of Exasol Personal — a free Exasol database running locally on a Mac or deployed to your own AWS, Azure, Exoscale, or STACKIT account. Covers picking the right deployment flavor, the `exasol` launcher CLI (`exasol install <preset>`, `exasol connect`, `exasol info`, `exasol deployments list`, `exasol destroy`), the `local`, `aws`, `azure`, `exoscale`, and `stackit` presets, and following the official exasol/exasol-personal instructions.

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。

Set up Sentinel production error capture in your own Convex deployment.

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Set up Convex backups and run a restore DRILL that proves recovery — snapshot, restore into a throwaway preview, assert the data came back — plus a schedule matched to your RPO and a gated recovery runbook.

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。

Run every Convex audit (authz, reviewer, advisor, insights) into one scored, deduped readiness report with an ordered fix plan — Lighthouse for your backend.

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。

Point a domain you already own at your Convex app (DNS records, custom-domain attach, auth-origin rebind).

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。

Point a domain you already own at your Convex app (DNS records, custom-domain attach, auth-origin rebind).

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。

Set up Sentinel production error capture in your own Convex deployment.

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。

Set up Convex backups and run a restore DRILL that proves recovery — snapshot, restore into a throwaway preview, assert the data came back — plus a schedule matched to your RPO and a gated recovery runbook.

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。

Run every Convex audit (authz, reviewer, advisor, insights) into one scored, deduped readiness report with an ordered fix plan — Lighthouse for your backend.

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 repo is indexed by graft/. For ANY task here, whether understanding how something works, finding where code lives, tracing what calls a symbol or what a change breaks, or scoping an edit, get your context from the graph before grepping or reading source files. Every command runs through `bin/harness graft`.

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。

Ask which skill or flow fits your situation. A router over the user-invoked skills in this repo.

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。

Spectral vector search using graph Laplacian eigenstructure. Use when cosine/L2 similarity misses latent structure in your embeddings.

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-driven data extraction from 55+ Actors across all major platforms. This skill automatically selects the best Actor for your task.

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。

Determine the best Anthropic architecture for your project by analyzing requirements and recommending the optimal combination of Skills, Agents, Prompts, and SDK primitives.

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Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

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Build container-based Foundry Agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating hosted agents that run custom code in Azure AI Foundry with your own container images. Triggers: "ImageBasedHostedAgentDefinition", "hosted agent", "container agent", "Foundry ...

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Detect model stealing, model inversion, and membership inference performed through inference-API abuse by monitoring query patterns, applying output perturbation, and red-teaming your own model's extractability.

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Detect typosquatting, homograph phishing, and brand impersonation domains using dnstwist to generate domain permutations and identify registered lookalike domains targeting your organization.

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Monitor Certificate Transparency logs using crt.sh and Certstream to detect phishing domains, lookalike certificates, and unauthorized certificate issuance targeting your organization.

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。

Run a support investigation as a suggest-and-interpret loop, never executing anything yourself — orient to the product's support pack and follow the signal with judgment. Use when someone asks for help triaging, investigating, or resolving an operational or support issue on a deployment. Not for feature-development cards (see investigate-and-fix and implement-this).

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。

Search and analyze your own session logs (older/parent conversations) using jq.

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。

Generic helpdesk first-response skill for creating KB-based response drafts. Use when handling support tickets, creating response templates, or building a structured helpdesk workflow. Supports error code detection, keyword matching, confidence scoring, multi-language templates, and escalation workflows. Customize by providing your own KB articles and configuration.

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。