TashanGKD

A comprehensive executor for enhancing skill systems through structured project phases.

Manage project backlogs efficiently with structured input and processing modes.

A routing classifier for ambiguous input, determining whether to follow a cognitive update or task execution path.

按需培养领域专家子智能体，转化知识为可调度的专家 Agent。

Conducts a comprehensive health check of the Skill/Agent/Rule system for internal consistency.

Skill updater agent for managing skill updates and new entries efficiently.

Conduct a quick health check across three operational loops to assess system status.

Analyze multiple image perspectives for articles and generate prompt sketches for user selection.

The Tashan Cursor Skills collection offers a self-evolving agent harness system for enhanced cognitive and operational efficiency.

Transform analysis findings into actionable, verifiable remediation plans.

Perform comprehensive C1-C10 consistency checks on cognitive structures, generating reports and fixing inconsistencies.

Detects contradictions within or between L1 documents and proposes resolutions based on L1.5 principles.

Extract underlying principles from fragmented insights across domains.

Guides AI to execute cross-project linkage notifications based on specific changes.

Dynamically discovers all task scenarios from existing role-* Skills and generates comprehensive sandbox files.

Generate high-quality images for infographics and visual content using AI.

Efficiently update and modify existing researcher profiles with precise field adjustments.

A developer-focused auditing agent that reviews project documentation for accuracy and completeness.

专为他山工作台开发的技能，提供启动命令、架构速查和调试支持。

Independent AI evaluation agent assessing LLM performance and output quality.

DevOps role focused on deployment, CI/CD, and monitoring AI costs.

Systematically review and update skills after project completion.

Create new x.0 version snapshots for L1 documents to mark significant changes.

Simulates an AI executor's first encounter with a Skill to identify ambiguities and assumptions.

Automated bug-fixing agent that executes TDD protocols in isolation.

Manage a library of image styles for WeChat articles, ensuring consistent visual themes.

A lightweight agent for logging collaborative construction processes.

Systematically expands the sandbox library by identifying coverage gaps and suggesting priority scenarios.

AI infers academic motivation, personality, and cognitive style dimensions based on user-provided identity and ability information.

Identify gaps in domain health and generate actionable improvement plans.

Simulate user interactions to identify design flaws from a critical perspective.

Efficiently scrape articles from WeChat public accounts with automated processes.

Meta-level closure verification orchestrator for skill systems.

Automates task logging and cognitive value extraction after task completion.

A comprehensive writing pipeline for creating and refining documents across various stages.

Controlled updates for L1 systematic documents with pre-analysis and contradiction detection.

Review and validate your research digital persona with feedback collection and status marking.

Cognitive Task Reflector extracts cognitive value from task logs to enhance understanding and principle extraction.

Cognitive verifier for validating L1 document updates in independent contexts.

Cognitive Cascade Notifier automates task alignment notifications for principle updates.

Guide users through self-reflection, structuring their insights and comparing them with historical patterns.

Cognitive-Work Alignment Check validates the alignment of work tasks with cognitive roots.

Administer the Researcher Cognitive Style Scale (RCSS) to assess cognitive preferences.

Generate a snapshot of cognitive structure to prioritize daily tasks.

Automatically records engineering principles to enforce system constraints and behaviors.

A dual-perspective guide for developing Skills, Agents, and Rules with complexity assessment.

Collects basic information for research digital avatars, including research stage and technical skills.

Automate the writing of WeChat articles for interdisciplinary topics with templates and image generation.

Integrate and validate AI-generated memory responses into user profiles with confidence scoring.

Administer the Mini-IPIP personality test to assess the Big Five traits.

Structure and track user-reported issues by categorizing them into design and technical problems.

Checks the propagation completeness of the Skill system across specified domains.

A specialized agent for auditing product definition documents from a PM's perspective.

Evaluate UI/UX designs from a first-time user perspective to ensure clarity and usability.

Administer the Academic Motivation Scale (AMS-GSR 28) to collect data on researchers' intrinsic and extrinsic motivations.

Audit historical conversations to extract user preferences and identify repeat tasks.

Automates the bug-fixing process by coordinating fixes and regression tests based on priority levels.

生成结构化提示词以提取科研数字分身信息，适用于多种带记忆功能的 AI。

Consolidate multiple documents into a single authoritative version to eliminate confusion.

Generate general long-form articles including technical analyses, product thoughts, and personal essays.

Analyze architectural gaps between systems and standards to generate evidence-based reports.

系统性重组认知结构，整理全局文档归属，适合建立或归档文档时使用。

Integrates research digital avatars into a forum profile format, ensuring privacy confirmation.

Validate compatibility of new products with existing systems before project initiation.

Automatically resolves project specification issues by classifying and routing them for repair.

Conduct a thorough project closeout check to ensure documentation consistency and track unresolved issues.

A structured skill for reconstructing or creating projects based on existing assets without rewriting code.

Skill evolution planner for proactive analysis of skill system development.

Execute comprehensive searches across external Skill/Agent/Rule repositories using a strict 7-dimensional protocol.

Automates the setup of a testing environment to ensure stability before executing tests.

统一复盘入口，支持任务结束后的经验沉淀与缺陷修复

Track and structure article review feedback for effective revisions.

Create a coordination framework for parallel development across multiple projects.

Identify conflicts in new Skills, Agents, or Rules that could disrupt the AI behavior framework.

审阅中文文章草稿，确保符合郑总的审稿标准，提供逐条修改建议。

主动分析产品现状并生成改进建议的AI技能，助力产品演进规划。

A specialized agent for reviewing architecture documents against product definitions.

Integrate L2 fragments into L1 systematic documents using a unique assimilation mechanism.

基于用户认知文档的问答工具，提供严格引用和置信度标注

Modify the profile schema by adding, deleting, or modifying dimensions in the profiling system.

An agent that audits architectural drafts from a destructive perspective to identify vulnerabilities.

Generate daily cognitive system briefings to consolidate updates and prompt user decisions.

Guides AI in modifying axiom systems or structures with strict adherence to protocols.

独立验证实现的子智能体，确保功能代码的真实完成。

Conduct systematic research on any topic and generate a comprehensive Markdown document.

Comprehensive front-end brand design system reference manual.

Integrates multiple cognitive fragments into a cohesive document structure.

Explore codebases to understand architecture and technology stacks efficiently.

Capture fragmented thoughts and structure them into cognitive frameworks.

Cognitive Task Reflector extracts cognitive value from task logs to enhance understanding.

Cognitive verifier for validating L1 document updates in independent contexts.

Detects contradictions within or between L1 documents and proposes resolutions based on L1.5 principles.

Integrates multiple cognitive fragments into a cohesive document structure.

Generate daily cognitive system briefings to summarize updates and pending tasks.

Guide users through self-reflection, structuring insights and comparing historical patterns.

Cognitive calibration tool for tracking and verifying AI-generated content.

Detects cognitive signals in conversations to highlight insights and contradictions.

Facilitates creative divergence by extracting seemingly unrelated concepts to generate unconventional solutions.

Answer questions based on the user's own cognitive documents, citing sources and identifying knowledge gaps.

Integrate L2 fragments into L1 documentation using a systematic approach to maintain knowledge coherence.

Automates cognitive synthesis by analyzing fragmented insights every three days.

Activates semantic networks based on a given concept to return related summaries.

Validate alignment between your cognitive framework and actual work outputs.

系统性重组认知结构，整理全局文档归属，适合文档积累与分类。

Create new x.0 version snapshots for L1 documents to mark significant changes.

Cognitive Cascade Notifier automates task alignment checks when new principles are confirmed or major updates occur.

A routing classifier for ambiguous input, determining whether to follow a cognitive update or task execution path.

Extracts cross-domain principles from fragmented data for knowledge consolidation.

Cognitive OS externalizes human cognitive frameworks into an AI-operable knowledge system.

Generate a snapshot of cognitive structure to prioritize daily tasks.

Automates memory consolidation by integrating L2 fragments into L1 every 7 days.

Capture fragmented thoughts and structure them into cognitive layers for better organization.

Perform comprehensive C1-C10 consistency checks on cognitive structures and automatically fix inconsistencies.

Controlled updates for L1 systematic documentation with pre-analysis and versioning.