Search: "workflow"
Showing 24 of 31 results
AgentPass Local
Install a local credential broker with a desktop GUI, allowed-domain policy checks, and OS-protected sensitive fields. Use it when an approved agent workflow needs a narrow login or API handoff without putting passwords, tokens, recovery codes, or payout details into chat, logs, screenshots, or repositories.
sop-architect
Turn a messy process into an agent-ready SOP. Interviews you about a workflow, then produces a structured spec with roles, inputs, steps, decision points, failure paths, and acceptance checks that an AI agent can execute or automate. Includes templates, a gap analysis, and a validation checklist.
mesh flow
What it does Mesh Flow replaces fragile, implicit prompt-chaining with a robust, artifact-driven DAG (Directed Acyclic Graph) orchestration system. By defining your agent workflows in a structured project.yaml, you move logic out of the prompt and into a compile-time validated system. It enforces hard gates—such as human approval or dependency verification—that the AI cannot bypass or hallucinate past. Why use this skill Standard agentic workflows often fail because the LLM decides to skip steps or "forgets" requirements. Mesh Flow treats your agentic workflow like a CI/CD pipeline. It features a Compile-then-Run architecture that validates your topology for cycles and missing artifacts before single token is generated. This ensures 100% predictable execution paths, explicit failure states (failed, blocked, rejected), and absolute control over recovery paths. Supported tools YAML-based workflow configurations Standardized Adapter Interfaces for cross-skill communication Mermaid DAG visualization for debugging Zod-backed schema validation CLI tools for compilation and execution (mesh compile, mesh run) Output structure The skill produces a normalized execution plan and a detailed execution trace. Every node execution returns a standardized status, a list of produced artifacts, and comprehensive metadata including tool calls and verification reasoning. Use Cases Build multi-step agent pipelines with hard verification gates Enforce human-in-the-loop approval before sensitive code deployments Visualize complex agent task dependencies using Mermaid DAGs Standardize artifact sharing between disparate AI skills and agents
Popular Platform Data Collection Skill
Popular Platform Data Collection Skill is an agent workflow for authorized content research, content archiving, and first-party account backups. It guides users to manually export public, owned, or clearly authorized videos, cover images, page copy, tags, engagement data, and comments through DATATOOL. It validates the input files, uses local OpenAI Whisper to transcribe the complete video audio track, anonymizes comment data when requested, and produces a verifiable Chinese ZIP package containing Excel files, text, subtitles, segmented JSON, and a SHA-256 manifest. Users handle DATATOOL installation, login, verification, authorization, and content export in a normal browser. The Skill does not control DATATOOL, store cookies or passwords, bypass captchas, paywalls, private-content restrictions, or anti-bot controls. Videos are transcribed locally by default and are not uploaded to third-party transcription services.
Cognitive Anchor Sketcher for Chinese Articles
Turn Chinese articles into hand-drawn visuals that explain the idea instead of simply decorating the page. Cognitive Anchor Sketcher reads the article, finds the strongest judgments, turning points, structures, states, and metaphors, then builds a focused shot list before image generation. Each illustration communicates one idea in a clean 16:9 composition with a white background, black hand-drawn linework, generous whitespace, and short Chinese annotations. Use it for newsletters, blogs, Notion pages, product thinking, workflow documents, and methodology content. Choose between minimal-line and emotion-doodle styles, use the included Xiaohei, Tuotuo, and Xingbi characters, or work with an authorized custom IP. A guided QA flow confirms the direction, style, IP, shot list, and output settings. It can also provide cognitive-anchor analysis and illustration planning without generating images. Image generation requires a ChatGPT-authenticated Codex CLI session.
Competitive Intelligence Monitor
Know what your competitors changed this week — with a source for every claim. This recurring kit turns your AI agent into a systematic competitive-intelligence monitor: it keeps a watchlist, collects live competitor pages, detects real changes (pricing, positioning, features, launches, content), scores severity, and writes a decision-ready weekly digest. Two layers do what a prompt cannot: a collection layer that fetches live pages via the tool you already have and saves snapshots so diffs are reproducible; and a grounding layer where every change carries source + timestamp + before→after, inference is labelled READ:, and anything unevidenced is marked UNVERIFIED. Includes the weekly workflow, collection adapters, evidence-ledger rules, watchlist and competitor-profile templates, a severity rubric, digest and change-log templates, diffing methodology, a source matrix, quickstart and install guides, a worked example and demo script. For founders, growth leads and small agencies. No backend.
truth-first-lite
The Truth-First Verification skill enforces a rigorous, evidence-based workflow for AI agents. It prevents "hallucinated certainty" by requiring real-time verification of system states, configurations, and file contents before the agent is allowed to provide an answer. Instead of assuming a service is running or a config is correct, the agent must prove it using available diagnostic tools.
Superpowers Dev Workflow
Spec-first, TDD, subagent-driven software development workflow. Use when: (1) building any new feature or app — triggers brainstorm → plan → subagent executi...
composio-cli
Read from or act on external apps (email, calendar, chat, source control, tickets, CRM, storage) through the Composio CLI, even when the user does not name Composio. Prefer a dedicated skill, CLI, or MCP server already available for the app. Not for local files, shell, browser, or web search.
Alibabacloud Dataworks Datastudio Develop
DataWorks data development Skill. Create, configure, validate, deploy, update, move, and rename nodes and workflows. Manage components, file resources, and U...
Workflow
Build automated pipelines with reusable components, data flow between nodes, and state management.
Workflow
Build, run, and visualize multi-step AI generation workflows. The AI architect translates natural language descriptions into connected node graphs — chain im...
HPC Agent Kit
Set up, adapt, operate or recover an agent-operated Slurm GPU workspace using bundled scripts, nested tmux, durable allocation requests, job-local storage and verified automatic backups. Use when asked to establish an HPC workflow or operate an existing installation.
TaskFlow × ClawHub 数字资源入库操作指南
通过 TaskFlow 编排预处理（审核、分类、元数据填充），再用 ClawHub CLI 完成数字资源入库的可复现操作指南与实操记录。
Agentic Workflow Designer
AI-powered agentic workflow design and automation assistant — map complex multi-step processes, identify automation opportunities, design autonomous AI agent pipelines, generate n8n/Make/Zapier workflow specs, and estimate ROI. Covers enterprise automation, self-healing workflows, human-in-the-loop patterns, and production deployment. Keywords: agentic workflow, workflow automation, n8n, Make, Zapier, enterprise automation, AI pipeline, autonomous agent, process automation, workflow design, ROI calculator, HITL, 工作流设计, 流程自动化, 智能体工作流, 企业自动化, n8n工作流, 流程优化, 自主代理, RPA替代.
漫剧全流程串联引擎
漫剧制作全流程自动串联引擎。当用户提出漫剧创作需求时，自动按流程依次执行 总控定调→编剧分镜→总控校验→美术绘图→动态动画→剪辑合成，全程自动流转， 无需用户手动切换Agent。触发词包括：制作漫剧、全流程、开始创作、做一集漫剧、 漫剧工作流、启动漫剧制作、帮我做漫剧。
dev-workflow
标准开发流程规范。每当接到新的开发任务或 bug 修复任务时必须先调用本 skill，按流程执行：从 master 拉分支 → 确认需求或复现 bug → 检查/补充测试覆盖 → 改动 → 回归测试 → 用户验收 → 发布。
workflow-guard-rails
Wrap multi-step agent workflows with pre-execution checks, side-effect queues, result validation, retry budgets, checkpointing, audit logs, and failure-rule accumulation. Prevents false successes, duplicate sends, unrecoverable crashes, and silent drift in LLM production systems. Use it when a workflow sends, publishes, pays, deletes, or writes to another system, runs unattended on a schedule, or must be safe to rerun after a mid-task failure. Trigger keywords: workflow safety, workflow guardian, agent guard, guardrails, pre-execution check, pre-flight check, retry budget, idempotency, false success, duplicate send, checkpoint recovery, rerun safety, audit log, drift detection, agent reliability, production guardrails, 工作流守护, Agent 护栏, 副作用队列, 漂移检测, 幂等, 防重复发送, 假成功, 断点恢复, 生产护栏, 重跑安全. Guard #7 (rule accumulation) captures confirmed failures in the same turn into a staging file (~/.workbuddy/ERROR-PLAYBOOK.staging.md). Entries reach the authoritative ~/.workbuddy/ERROR-PLAYBOOK.md only when the failure recurs (count >= 2) or a human confirms the rule — durable global guidance is never created by a single unreviewed append. 中文摘要：为多步骤 Agent 工作流加装七项护栏——执行前检查、检查点、副作用队列、预算 重试、结果验证、审计记录、规则沉淀，拦截假成功、重复发送与渐进漂移。触发词：工作流 守护、Agent 护栏、假成功拦截、防重复发送、重试预算、断点恢复、生产护栏、漂移检测.
git-workflow
项目定制的轻量 Git 工作流助手。仅在用户明确要求写入或同步 README 工作流、创建 feature 分支、查看工作流状态、检查 feature 完成状态时激活。只允许更新 README 托管区块和经确认后创建本地 feature 分支；不执行 commit、stash、rebase、merge、push、tag、发布、分支删除或历史重写。
collab-workflow-ingest
协作流程：业务流程梳理 → 数字资源入库。先用 workflow-structurer 逐步澄清流程，生成结构化步骤文档；再用 demo-asset-ingest 的打包规范将成果发布到 ClawHub 资源中心。适用场景：需要将模糊需求转化为可执行流程、并把最终产物沉淀到可检索仓库的工作。
Hermes Workflow Engine
Hermes DAG工作流引擎 v3.0 — 目标驱动的多步骤任务编排系统。 支持DAG依赖、并行执行、故障转移、资源监控、版本管理、模式检测、可视化面板、社区共享。 当用户要求执行工作流、运行workflow、自动化任务、多步骤任务、创建工作流、模式检测、 版本管理、DAG编排、并行执行、故障转移时触发。 适用...
Agent Workflow
A structured workflow plugin for OpenClaw agents. Guides work through brainstorm → plan → execute → verify → deliver with persistent state and multi-project...
Workflow Decomposer
工作流任务拆解与模型编排技能。使用场景：(1) 收到复杂工作任务需要拆解为可执行步骤，(2) 需要为不同步骤选择最合适的模型，(3) 需要跟踪工作流进度和模型使用情况，(4) 长时间任务卡住需要问题诊断和解决方案。
Workflow Orchestrator
Chain skills into automated pipelines with conditional logic, error handling, and audit logging. Define workflows in YAML or JSON, then execute them hands-fr...
asc-workflow
# asc workflow Use this skill when you need lane-style automation inside the CLI using: - `asc workflow validate` - `asc workflow list` - `asc workflow run` Workflows are repo-local automation files. They run trusted shell commands, stream step output to stderr, and keep stdout as machine-readable JSON. ## Command discovery Always verify flags with: ```bash asc workflow --help asc workflow validate --help asc workflow list --help asc workflow run --help ``` ## End-to-end flow 1. Author `.asc/workflow.json`.
project-workflow-analysis-blueprint-generator
# Project Workflow Documentation Generator ## Configuration Variables ``` ${PROJECT_TYPE="Auto-detect|.NET|Java|Spring|Node.js|Python|React|Angular|Microservices|Other"} <!-- Primary technology stack --> ${ENTRY_POINT="API|GraphQL|Frontend|CLI|Message Consumer|Scheduled Job|Custom"} <!-- Starting point for the flow --> ${PERSISTENCE_TYPE="Auto-detect|SQL Database|NoSQL Database|File System|External API|Message Queue|Cache|None"} <!-- Data storage type --> ${ARCHITECTURE_PATTERN="Auto-detect|Layered|Clean|CQ
create-github-action-workflow-specification
# Create GitHub Actions Workflow Specification Create a comprehensive specification for the GitHub Actions workflow: `${input:WorkflowFile}`. This specification serves as a specification for the workflow's behavior, requirements, and constraints. It must be implementation-agnostic, focusing on **what** the workflow accomplishes rather than **how** it's implemented. ## AI-Optimized Requirements - **Token Efficiency**: Use concise language without sacrificing clarity - **Structured Data**: Leverage tables, li
workflow-patterns
# Workflow Patterns Guide for implementing tasks using Conductor's TDD workflow, managing phase checkpoints, handling git commits, and executing the verification protocol that ensures quality throughout implementation. ## When to Use This Skill - Implementing tasks from a track's plan.md - Following TDD red-green-refactor cycle - Completing phase checkpoints - Managing git commits and notes - Understanding quality assurance gates - Handling verification protocols - Recording progress in plan files ## Detail
Skill Creator
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 tool integrations.