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Found 30 Skills
Create, edit, and manipulate Word documents programmatically using python-docx
Auto-fill document templates with data - mail merge for any format
Convert local Markdown files to Feishu (Lark) documents with automatic image uploading. Uses the feishu-docx CLI tool.
Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.
Enables Claude to create, edit, and format documents in Microsoft Word Online via Playwright MCP
Create, send, and track documents with PandaDoc's document automation platform.
Scan and normalize existing intent/planning files to IDD standard. Auto-fixes mechanical issues (frontmatter, directory structure), tags content issues for pickup. Use /intent-normalize to scan current project, or /intent-normalize <path> for specific directory.
Enables Claude to create and manage documents with tables and automation in Coda via Playwright MCP
Intelligent software copyright application material generation tool. Automatically analyzes project source code, generates software manuals and source code documents that meet the requirements of software copyright applications. Supports keyword search, intelligent source code analysis, formatted output, and PDF export.
Rewrite `outline/claim_evidence_matrix.md` as a projection/index of evidence packs (NO PROSE), so claims/axes are driven by `outline/evidence_drafts.jsonl` rather than outline placeholders. **Trigger**: claim matrix rewriter, rewrite claim-evidence matrix, evidence-first claim matrix, matrix index, 证据矩阵重写, 从证据包生成矩阵. **Use when**: `outline/subsection_briefs.jsonl` + `outline/evidence_drafts.jsonl` are ready and you want a clean claim→evidence index for QA/writing. **Skip if**: `outline/claim_evidence_matrix.md` is already refined and consistent with evidence packs. **Network**: none. **Guardrail**: NO PROSE; do not invent facts; only cite keys present in `citations/ref.bib`; if evidence is abstract/title-only, claims must be provisional.
AI-enhanced LaTeX Example Intelligent Generator, achieving organic integration of AI and hard-coding. AI handles "semantic understanding" (analyzing chapter themes, inferring resource relevance, generating coherent narratives), while hard-coding is responsible for "structure protection" (format validation, hash verification, access control). It applies to scenarios where users request "filling example content/generating examples/supplementing LaTeX examples".
智能迁移NSFC LaTeX标书到新版模板，基于五阶段工作流（分析→映射→规划→执行→验证），自动处理结构变化、内容重组、引用更新；支持AI驱动语义匹配与启发式回退，并提供 runs 输出隔离（--runs-root）与一键迁移脚本（migrate.sh）。