Results for “ach”

Brainstorm an inspiring, achievable, and emotional product vision that motivates teams and aligns stakeholders. Use when defining or refining a product vision, creating a vision statement, or aligning the team around a shared direction.

Determines levothyroxine dosing for central hypothyroidism to achieve serum free T4 in the mid to upper half of the reference range. Triggers include confirmed central hypothyroidism requiring thyroid hormone replacement when initiating L‑4 therapy.

Detect and exploit Server-Side Template Injection (SSTI) vulnerabilities across Jinja2, Twig, Freemarker, and other template engines to achieve remote code execution during authorized penetration tests.

VS-Enhanced Academic Style Humanizer - Transforms writing patterns to achieve authentic scholarly voice Applies transformations from G5 analysis to create natural academic prose Use when: improving AI-assisted writing quality, preparing manuscripts, enhancing scholarly voice Triggers: humanize, transform, make natural, improve writing quality, improve style

Expert framework for assessing and achieving product-market fit. Combines PMF measurement methodologies, Sean Ellis survey, retention analysis, segment-specific PMF, and post-PMF scaling strategy. Use when determining if product has PMF, measuring user engagement, running PMF surveys, or deciding whether to scale or keep iterating.

Detect memory errors like buffer overflows and use-after-free bugs in C/C++ code during fuzzing and testing using AddressSanitizer.

融合未来蓝图与符号抽象能力，通过符号系统构建未来愿景，将抽象的未来概念转化为具体的符号表达，创造新的未来可能性。

Action (apaz-action)

Think like a human. Reason, plan, adapt, create, and know your limits.

Action (afaz-action)

Action (ahaz-action)

通用符号抽象接口。当定义符号系统、表达形式、意义映射时调用此技能。

Use when extracting entities and relationships, building ontologies, compressing large graphs, or analyzing knowledge structures - provides structural equivalence-based compression achieving 57-95% size reduction, k-bisimulation summarization, categorical quotient constructions, and metagraph hierarchical modeling with scale-invariant properties. Supports recursive refinement through graph topology metrics including |R|/|E| ratios and automorphism analysis.

Rule (agak-rule)

Fuzz Python code and C extensions with coverage guidance and AddressSanitizer support using a libFuzzer-based fuzzer.

Rule (afak-rule)

Action (akaz-action)

Enterprise asset management tracker

Rule (ahak-rule)

通用时间抽象接口。当定义时间维度、时序关系、时间演化时调用此技能。

Implements real-time pub/sub messaging with Ably's edge infrastructure, covering presence, message history, and token authentication.

Symbol (afah-symbol)

Decide where a new tool slots into the chezmoi bootstrap and README. Use when adding a CLI/binary to the host bootstrap so it lands in the right install pass and the right README block. Routes auth-required tools to "Interactive logins" and fire-and-forget binaries to "PATH check".

通用逻辑抽象接口。当定义逻辑推理、演绎归纳、逻辑运算时调用此技能。

Action (acaz-action)

You are an expert in Chi, the lightweight, idiomatic Go HTTP router built on `net/http`. You help developers build composable HTTP services using Chi's middleware stack, route groups, URL parameters, sub-routers, and context-based request scoping — providing Express-like ergonomics while staying 100% compatible with Go's standard library.

Suggests a 3- to 6‑month trial of testosterone dosing to achieve a mid‑normal premenopausal value in a reference assay for postmenopausal women with properly diagnosed HSDD and no contraindications. Triggered when a postmenopausal woman requests therapy for low sexual desire after appropriate HSDD workup and exclusion of contraindications.

You are an expert in Axum, the web framework built on top of Tokio and Tower by the Tokio team. You help developers build high-performance, type-safe APIs and web services using Axum's extractor-based handler system, middleware via Tower layers, WebSocket support, and compile-time route validation — achieving C-level performance with Rust's memory safety guarantees.

This skill guides clinicians to assess whether a patient has achieved ≥5% weight loss at 3 months while on a weight‑loss medication and to determine continuation versus discontinuation based on efficacy and safety. It is triggered when a clinician asks, 'Has this patient lost enough weight at 3 months to continue lorcaserin?' or 'Should I stop phentermine/topiramate because the patient lost only 3% of body weight?'.

Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an ask is underspecified ("build me X" without "for whom" or "why now"), when the user explicitly invokes ("interview me", "grill me", "are we sure?", "stress-test my thinking"), or when you catch yourself silently filling in ambiguous requirements before any plan, spec, or code exists.