cfn-dependency-management
Task dependency extraction and context ingestion. Use when you need to parse task criteria, identify dependencies, generate execution order, or inject context for complex multi-step tasks.
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Task dependency extraction and context ingestion. Use when you need to parse task criteria, identify dependencies, generate execution order, or inject context for complex multi-step tasks.
Manages Google Sheets API calls with rate limiting and quota enforcement
Classify tasks (type/domain), estimate complexity/iterations, recommend specialists from feedback themes
Agent selection based on task classification with fallback support
Skill loading, propagation, and building for CFN. Use when dynamically discovering and loading skills, deploying skills across environments, or creating new skill scaffolding.
Skill deployment and promotion lifecycle management. Use when transitioning skills from APPROVED to DEPLOYED status, or promoting skills from staging to production with SLA enforcement.
Secure SQL query execution with parameterized queries to prevent SQL injection attacks. Use when executing database queries, inserting/updating records, or performing any SQL operations that require security ha...
Coordinates FAST code generation via Z.ai glm-4.6 with CodeSearch pattern learning. Use when agents need rapid test generation, bulk code creation, or repetitive boilerplate. Tracks successful prompts for conti...
Backlog and changelog management for CFN projects
Strategic decision-making for CFN Loop progression with robust parsing. Use when evaluating validator consensus and determining PROCEED/ITERATE/ABORT outcomes.
Sync conversation history from .codex/sessions to .claude.json for context preservation
Constructs and validates Google Sheets formulas from templates with syntax checking
Configuration management and environment sanitization. Use when you need to manage configuration files, validate environment variables, sanitize sensitive data, or update system settings across CFN Loop compone...
Generates new agent profiles with consistent structure, automatic validation pattern injection, and test-driven protocols
Automatic, structured persistence of agent outputs to SQLite database. Use when tracking agent outputs across CFN Loop workflows, persisting confidence scores, or querying agent execution history.
Unified error handling, batching, and logging for CFN Loop. Use when you need to capture agent errors, batch multiple errors for processing, log structured error data, or categorize and recover from agent failu...
Revise ICML/NeurIPS/ICLR paper introductions to match oral-quality writing patterns. Use when writing or revising a machine learning paper introduction, when user mentions ICML/NeurIPS/ICLR paper writing, when...
Write and edit academic papers for top-tier CS venues (ICSE, FSE, ASE, ICML, NeurIPS). Provides rigorous writing style guidance for peer review.
Apply Steven Pinker's "The Sense of Style" principles for clear, engaging prose. Use classic style to show readers ideas as if through a window onto the world.
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, ge...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Remove AI-generated code slop from files or diffs. Use this skill when reviewing AI-generated code to clean up unnecessary comments, defensive code, type hacks, and style inconsistencies. Triggers include "desl...
Use this skill when the user asks to commit, save, or persist their code changes to version control and describe current changes.
Publish a new version of klaude-code to PyPI. This skill handles version bumping, changelog updates, git tagging, and package publishing. Use when the user wants to release a new version.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。