workflow-or-agent-decider
Decide between a scripted workflow and an autonomous agent harness, then scaffold the chosen path. Use when scoping new agentic systems or tool integrations.
浏览 aufrank 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
16收录技能的仓库 Stars 合计
0仓库 Forks
16平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Decide between a scripted workflow and an autonomous agent harness, then scaffold the chosen path. Use when scoping new agentic systems or tool integrations.
Run Jira MCP searches (Rovo or JQL) via mcpc-backed Python wrappers with cached tool schemas and file-backed outputs. Use when Codex needs deterministic Jira queries using @jira and mcpc (no direct HTTP).
Use mcpc CLI to interact with MCP servers - call tools, read resources, get prompts. Use when working with Model Context Protocol servers, calling MCP tools, or accessing MCP resources programmatically; prefer...
Design long-running agent harnesses with resumable checkpoints and initializer/coder handoffs. Use when tasks span multiple sessions or require recovery after interruption.
A meta-skill for authoring high-performance, verifiable, long-running MCP skills using Code Mode. This skill blends Anthropic and OpenAI skill-authoring guidance with Code-Mode-first, MCP-backed execution, dyna...
Create and manage Git worktrees to parallelize agent tasks safely. Use when you need multiple concurrent checkouts (sub-agents, parallel edits, or isolated experiments) and want deterministic setup/cleanup with...
Audit skill folders for guideline compliance and portability. Use when validating SKILL.md files against skill_development_guidelines.md or checking for non-portable examples, hard-coded paths, or missing refer...
Use mcpc to interact with the Notion MCP server: connect sessions, search workspace content, fetch pages/databases, and run helper scripts for common Notion actions.
Run Notion MCP searches for pages/blocks and fetch page comments via mcpc-backed Python wrappers. Use when Codex needs deterministic, file-backed Notion queries (filters come later).
Use when a prompt or corpus is long/dense (multi-docs, logs, codebases) and you want a reproducible map/reduce pipeline. Trigger this skill to slice inputs, run per-slice codex/gemini subcalls, and aggregate re...
General skill authoring and improvement. Use when creating or updating any skill (with or without MCP), selecting structure, generating scaffolds, or packaging resources (scripts/references/assets/templates) th...
Build and run deterministic evaluation suites for agent workflows (single-turn or agentic). Use when you need reproducible eval runs with manifests, graders, metrics, and JSONL logs for capability or regression...
Fast environment briefing for agents and subagents. Use at session start to learn OS/shell, container/WSL/VM status, git repo + upstream + dirty state, Python venv status/locations, markdown folders to read, an...
Bidirectional planning for ambiguous or design-heavy tasks. Use when the user requests help breaking down a problem or formulating a plan, and also when an existing plan has too many gaps or needs refinement; c...
Audit tool integrations for deterministic behavior, error contracts, and logging before agents depend on them. Use when adding or updating tools or MCP servers.
Guide plan → instrument → execute → validate with explicit checkpoints and questions. Use for ambiguous tasks or when enforcing a consistent agent workflow.
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。