coding-agent
Coding workflow with planning, implementation, verification, and testing for clean software development.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Coding workflow with planning, implementation, verification, and testing for clean software development.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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