「iab」の検索結果

Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity

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。

Testing guidelines for Jarvy CLI - unit testing patterns, integration tests with assert_cmd, test environment variables, platform-specific testing, and CI coverage strategies.

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。

Systematically deconstruct written content into verifiable claims, validate each using search/documentation, and facilitate informed discussion through structured interviewing.

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 prompt engineer specializing in designing, optimizing, and managing prompts for large language models. Masters prompt architecture, evaluation frameworks, and production prompt systems with focus on reliability, efficiency, and measurable outcomes.

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 payment integration specialist mastering payment gateway integration, PCI compliance, and financial transaction processing. Specializes in secure payment flows, multi-currency support, and fraud prevention with focus on reliability, compliance, and seamless user experience.

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。

Mint an identifier or a name of a requested type out of a free-text hint: a UUID, a SHA-1 digest, a constant, variable, function, or class identifier, a path component, or a product-like name. Use when the user wants an identifier, id, symbol, slug, or name "minted", "coined", "derived", or "generated" from a description.

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 the user wants to verify that the evolved agent's score is stable and reliable. Runs evaluation multiple times and reports mean ± std.

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。

Construct and score Grand Slam Offers using the Value Equation — sourced pain mining, dream outcome articulation, problems→solutions→trim-and-stack offer construction, guarantee/scarcity/bonus design, 1-10 scoring on the four Value Equation variables, pricing sanity pass, and compliance check. Use when "build an offer", "grand slam offer", "value equation", "offer stack", "make this offer irresistible", "design a guarantee", "hormozi offer", "why isn't my offer selling", "pricing and packaging for my offer", or any request to design, score, or rework a commercial offer.

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。

Two-layer funnel audit on collected data only — stress-test the awareness layer (hooks, messaging, proof placement, attention leaks on live pages and ads) and the lead-capture layer (opt-ins and lead magnets scored on the four Value Equation variables, friction findings, weakest-magnet rewrite), plus a phone-path check under the Phone Capture Fit Rule. Use when "funnel audit", "audit my funnel", "why is my funnel leaking", "top of funnel isn't converting", "audit our lead magnets", "opt-in audit", "awareness to lead audit", "where are we losing people", "lead capture audit", or any request to diagnose the full awareness-to-lead flow rather than one page.

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。

Crypto Fundamental Analysis — evaluates project viability, team quality, technology, adoption metrics, and competitive moat with a composite Fundamental Score (0-100)

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。

Work with a running QDash instance through qdash-client and saved local profiles. Use when an agent needs to inspect chips, metrics, task results, calibration data, provenance, issues, flows, executions, project files, project-scoped QDash API data, or OpenAPI endpoints from QDash using qdash-client, ~/.config/qdash/config.ini, XDG_CONFIG_HOME/qdash/config.ini, QDASH_* environment variables, or a local oqtopus-team/qdash checkout.

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。

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

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。

generate, refine, validate, and render diagrams from natural language, notes, code snippets, schemas, tables, or existing diagram source. use for flowcharts, swimlanes, sequence diagrams, state diagrams, er diagrams, class diagrams, architecture/c4-style diagrams, dependency graphs, gantt charts, mind maps, user journeys, sankey-style flows, org charts, network graphs, and other visual models. supports mermaid by default, graphviz dot for complex graph layout, plantuml for uml-heavy engineering diagrams, and svg output when direct markup is more reliable.

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。

可靠性工程时使用。适用于 SLO 定义 / 错误预算管理 / Chaos Engineering / 灾备演练。融合 Google SRE SLO + Netflix Chaos Monkey。

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。

Core XMTP Agent SDK setup and patterns. Use when creating new agents, handling messages, setting up middleware, or configuring environment variables. Triggers on agent setup, XMTP configuration, message handling, or middleware 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。

Compare browser-agent reliability on a repeatable task and anti-bot suite before choosing a stack or claiming progress.

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。

Validates Ansible playbooks in check mode using ansible-playbook --check --diff and the Ansible Python API. Detects idempotency issues, undefined variables, and unreachable hosts before production runs.

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。

Validates Ansible playbooks and roles using ansible-lint and yamllint APIs. Enforces best practices for idempotency, variable naming, and handler usage with custom rule profiles.

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。

Load maintained action manuals for fragile websites so agents can execute known flows more reliably than generic browser prompting.

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。

Generates Ansible playbook YAML with proper module usage, handler chains, and role structures using ansible-core built-in modules. Supports Jinja2 template rendering and vault-encrypted variable files.

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。

Validates Ansible playbooks using ansible-lint with custom rule plugins and the Ansible Collections API. Checks for deprecated modules, missing handlers, insecure variable practices, and role dependency conflicts.

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 Caliper to run real agent tasks with and without a skill, MCP server, or rule change so reliability and token cost are measurable.

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。

Knit/render R Markdown (.Rmd) to HTML reliably in this repo (auto-bootstrap pandoc, set correct knit_root_dir, and run rmarkdown::render via a Python wrapper).

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。

Interacting with Mediabunny

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。