Results for “sharedpreferences”

Persist decisions, preferences, and project state across sessions using structured memory types

Stores shared reference documents and model mapping catalogs consumed by other SDD skills; not invokable as a skill itself.

Stores verified cross-session facts, decisions, preferences, and open questions without secrets, speculation, or monitoring.

Find adjacent vendors and subs (not top market primes) who fill a capability gap against a displacement target using USASpending flows and SAM entity signals. Use when user defines a teaming gap and wants vault-ready partner shortlist with citations.

Persistent cross-session memory management. Enables agents to remember user preferences, project conventions, and past decisions across different sessions using a structured MEMORY.md index and topic files.

钉钉(DingTalk) MultiSkill 的轻量共享入口。Use when 用户泛称 DWS/钉钉操作但未明确产品、请求跨产品编排、需要 URL 类型预检或产品边界消歧。清晰的单产品操作优先使用对应 dingtalk-* 子 skill；本 skill 只提供全局执行契约和按需 reference 导航，不承载产品命令全集。

Expert guidance for distributed NoSQL databases (Cassandra, DynamoDB). Focuses on mental models, query-first modeling, single-table design, and avoiding hot partitions in high-scale systems.

Trigger: tech stack, preferred tools, SvelteKit, Bun, Drizzle, Zero Sync, Better Auth, Vite. Scope: Project tooling preferences, framework selections. Boundary: Excludes application logic or visual styling guidelines.

Query Google Data Commons for public statistical data aggregated from global sources, resolving geographic entities and pulling time-series statistics. Use when working with demographic data, economic indicators, health statistics, or environmental data — population counts, GDP figures, unemployment rates, disease prevalence — or when resolving places to DCIDs and exploring relationships between statistical entities. Part of the AlterLab Academic Skills suite.

Optimizes C++ memory management and performance with smart pointers, custom allocators, move semantics, SIMD, cache-friendly design, and memory pools.

Skill for the _shared area of paddock. 33 symbols across 6 files.

Decide where to save any piece of information — monday.com, local file, daily notes, or MEMORY.md. Use this skill before saving anything to ensure the right destination. Prevents local clutter and ensures the owner can access all relevant content in monday.com.

Multi-tiered memory management (HOT/WARM/COLD) for context compaction. Invoke ONLY for explicit compaction events: post-`/compact` cleanup, MEMORY.md tier promotion, archive batch, or "trim my context". NOT for general recall (use deep-recall) or routine memory writes (use storage-router). Triggers: "compact memory", "promote to durable", "archive old context", "tier this".

Expert guidance for distributed NoSQL databases (Cassandra, DynamoDB). Focuses on mental models, query-first modeling, single-table design, and avoiding hot partitions in high-scale systems.

Create and manage stacked (dependent) pull requests for complex features

Configure and distribute creator fees to multiple shareholders using the PumpFees program with BPS-based share allocation, admin management, and cross-program fee consolidation for graduated tokens.

unified-query-provider

Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads

Design, create, and manage Salesforce sharing rules to grant record access beyond the role hierarchy, covering owner-based, criteria-based, and guest user rules.

Recommends a shared decision‑making process that provides patients with quantitative estimates of the expected weight effect of antidepressants to inform drug choice, also considering expected treatment length. Triggers include clinician questions such as ‘How should I discuss weight‑change risks with this patient starting an antidepressant?’ or ‘What tool can I use to show expected weight impact of sertraline vs bupropion?’.