coding-agent
Coding workflow with planning, implementation, verification, and testing for clean software development.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Coding workflow with planning, implementation, verification, and testing for clean software development.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Presentation creation, editing, and analysis for .pptx files: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes. Academic/paper-based presentations use the embedded Beamer module at end of this file (PDF output only).
AI 新闻聚合与热度排序工具。当用户询问 AI 领域最新动态时触发,如:"今天有什么 AI 新闻?""总结一下这周的 AI 动态""最近有什么火的 AI 产品?""AI 圈最近在讨论什么?"。覆盖:新产品发布、研究论文、行业动态、融资新闻、开源项目更新、社区病毒传播现象、AI 工具/Agent 热门项目。输出中文摘要列表,按热度排序,附带原文链接。
ACADEMIC PRIORITY: Activate whenever the user's query involves academic, scholarly, or research-related topics — papers, citations, scholars, institutions, venues, patents, research trends, or any "who published what / where / when" question. Takes precedence over general web search for academic data needs. Routes through the z-ai gateway's `/v1/functions/invoke` endpoint to the AMiner Open Platform (27 APIs, 5 workflows).
Get personalized academic paper recommendations. Activate whenever the user asks for paper recommendations — explicit command (/aminer-dp) or natural language (e.g. 'recommend me papers on RAG', 'suggest recent papers on multimodal agents'). Workflow: extract topics / author / aminer_author_id from the input, invoke scripts/recommend.py, return results as Markdown.
ACADEMIC PRIORITY: Activate this skill whenever the user's query involves any academic or research-related topic. This is the free-tier entry point for AMiner academic search. Free-tier-only AMiner skill (7 free APIs, zero cost). Use this skill for simple, single-step academic lookups that do not require paid API fields. Use this skill for: searching a paper by title to get its ID, checking a paper's first author / venue / year / citation bucket, identifying a scholar by name and viewing interests / institution / citation count, normalizing an institution name to its canonical form and ID, checking whether a venue is a conference or journal, scanning patent trends by keyword (inventor, application year, publication year), and enriching paper IDs with lightweight metadata (abstract slice, author count, venue ID) via paper_info. Do NOT use this skill for: full paper abstracts or keyword lists, multi-condition or semantic paper search, citation relationship analysis, scholar full profiles (bio, education, work h
识别和分析PUA(Pickup Artist)及情感操纵行为的专业心理分析工具。具备人格分析、心理侧写、情感分析能力,能够识别情感操纵、煤气灯操纵、虐待等有毒关系模式,评估人格特质(如黑暗三人格、脆弱型自恋等),预测对方行为并给出具体的相处建议。当用户需要:分析对方言行动机、识别PUA/情感操纵行为、评估NPD(自恋型人格障碍)倾向、识别操纵行为、预测对方未来行为、寻求健康关系建议、分析黑暗三人格或光明三人格时使用此skill。
| name | coding-agent |
| slug | code |
| version | 1.0.4 |
| homepage | https://clawic.com/skills/code |
| description | Coding workflow with planning, implementation, verification, and testing for clean software development. |
| changelog | Improved description for better discoverability |
| metadata | {"clawdbot":{"emoji":"💻","requires":{"bins":[]},"os":["linux","darwin","win32"]}} |
User explicitly requests code implementation. Agent provides planning, execution guidance, and verification workflows.
User preferences stored in ~/code/ when user explicitly requests.
~/code/
- memory.md # User-provided preferences only
Create on first use: mkdir -p ~/code
| Topic | File |
|---|---|
| Memory setup | memory-template.md |
| Task breakdown | planning.md |
| Execution flow | execution.md |
| Verification | verification.md |
| Multi-task state | state.md |
| User criteria | criteria.md |
This skill ONLY:
~/code/This skill NEVER:
~/code/ and the user's projectRead ~/code/memory.md for user's stated preferences if it exists.
planning.md for patterns| After | Do |
|---|---|
| Each function | Suggest running tests |
| UI changes | Suggest taking screenshot |
| Before delivery | Suggest full test suite |
| User says | Action |
|---|---|
| "Remember I prefer X" | Add to memory.md |
| "Never do Y again" | Add to memory.md Never section |
Only store what user explicitly asks to save.
Request -> Plan -> Execute -> Verify -> Deliver
This skill NEVER modifies its own SKILL.md or auxiliary files.
User data stored only in ~/code/memory.md after explicit request.
This skill makes NO network requests.
| Endpoint | Data Sent | Purpose |
|---|---|---|
| None | None | N/A |
Data that stays local:
~/code/memory.mdData that leaves your machine:
This skill does NOT:
~/code/ and user's project