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SunflowersLwtech
GitHub クリエイタープロフィール

SunflowersLwtech

2 件の GitHub リポジトリにある 26 件の収集済み skills をリポジトリ単位で表示します。

収集済み skills
26
リポジトリ
2
更新
2026-07-17
リポジトリエクスプローラー

リポジトリと代表的な skills

loopify-requirements
ソフトウェア開発者

Convert prompts, vague tasks, product requirements, coding requests, research plans, monitors, reminders, and agent workflows into repeatable, verifiable loops. Use when the user asks to "loopify" a requirement, turn a prompt into an agent loop, design unattended or recurring work, define /loop or routine instructions, create guardrails for autonomous agents, convert one-shot tasks into monitored workflows, or make future prompts more reliable through goal/scope/verification/escalation/stop conditions.

2026-07-17
polanyi-design
ウェブ・デジタルインターフェースデザイナー

Frontend design cognitive system grounded in Michael Polanyi's tacit knowledge theory. Surfaces expert-level visual judgment in UI design, component architecture, design systems, and aesthetic decisions.

2026-07-17
search-harness
ソフトウェア開発者

Domain knowledge for designing a search harness for coding agents — search API landscape, ground-API pipeline/strategy, CLI + skills architecture, and roadmap. Use when discussing search agent infrastructure, choosing search APIs for agents, designing search pipelines, or reviewing the search-harness project direction.

2026-07-17
remotion-best-practices
ソフトウェア開発者

Remotion video composition best practices for searchpo. Use when editing src/ components, configuring rendering, optimizing video output, or adding animations/effects to the Remotion pipeline.

2026-07-17
searchpo-agent-capabilities
ソフトウェア開発者

Use when Searchpo agents need to inspect available .env keys, provider/API capabilities, DeepWiki MCP availability, credential routing, side-effect boundaries, or decide which agent should use which external service without exposing secrets.

2026-07-17
searchpo-deepwiki-research
ソフトウェア開発者

Use when a Searchpo task involves GitHub repository understanding, DeepWiki MCP, repo architecture questions, dependency exploration, or source-code context as supporting context after AnySearch-first evidence planning has started.

2026-07-17
searchpo-full-flow
ソフトウェア開発者

Run the full Searchpo provider/live flow from input selection through evidence, FactBank, DeepSeek/Gemini, Remotion render, audit, delivery package, and Douyin gate verification. Use when the user asks to run the complete flow, full flow, /searchpo-full-flow, end-to-end publishable render, or live publish.

2026-07-17
searchpo-impl-agent
ソフトウェア開発者

Use when implementing or running searchpo provider scripts, Remotion rendering, Gemini visual audit, and Douyin publish/check commands.

2026-07-17
このリポジトリの収集済み skills 14 件中、上位 8 件を表示しています。
contrastive-behavioral-examples
ソフトウェア開発者

Good vs. bad behavioral examples showing what excellent play looks like vs. common mistakes. Derived from xuyuzhuang-Werewolf contrastive prompting and Avalon-LLM self-play reflection.

2026-07-05
deception-detection-mastery
ソフトウェア開発者

Faction-conditional strategies for deception and detection, derived from xuyuzhuang-Werewolf and LLMWereWolf role strategies. Evil agents get deflection and alibi techniques; good agents get detection heuristics.

2026-07-05
memory-consolidation-system
ソフトウェア開発者

3-tier memory tracking (STM/Episodic/Semantic) derived from ai-traitors-v2 and ai-town generative agent reflection. Helps agents maintain beliefs about each player and synthesize round memories into strategic conclusions.

2026-07-05
social-intelligence-evaluation
ソフトウェア開発者

Enriches GameMaster narration with awareness of social dynamics, derived from Sotopia 7-dimensional social intelligence evaluation. Tracks influence shifts, trust erosion, and narrative tension cues.

2026-07-05
strategic-reasoning-protocol
ソフトウェア開発者

Internal 5-step reasoning pipeline derived from xuyuzhuang-Werewolf. Agent performs Situation-Suspicion-Reflection-Strategy-Response analysis implicitly before generating any output.

2026-07-05
contrastive-behavioral-examples
コーチ・スカウト

Good vs. bad behavioral examples showing what excellent play looks like vs. common mistakes. Derived from xuyuzhuang-Werewolf contrastive prompting and Avalon-LLM self-play reflection.

2026-03-14
deception-detection-mastery
俳優

Faction-conditional strategies for deception and detection, derived from xuyuzhuang-Werewolf and LLMWereWolf role strategies. Evil agents get deflection and alibi techniques; good agents get detection heuristics.

2026-03-14
memory-consolidation-system
ソフトウェア開発者

3-tier memory tracking (STM/Episodic/Semantic) derived from ai-traitors-v2 and ai-town generative agent reflection. Helps agents maintain beliefs about each player and synthesize round memories into strategic conclusions.

2026-03-14
このリポジトリの収集済み skills 12 件中、上位 8 件を表示しています。
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