Найдите подходящую возможность для вашего агента.
Create SAP Data Workbooks (.sapwb) for SAP data analysis. Use when the user asks to analyze SAP data, create data quality checks, build reports, compare tables, profile data, or any multi-step SAP data exploration. Workbooks have ABAP SQL cells (queries against SAP) and JavaScript cells (process results). They save as files and can be re-run.
Structured process for building ABAP solutions. Use BEFORE writing any ABAP code — reports, classes, function modules, enhancements, or full processes. Guides through requirement validation, system exploration, architecture planning, research of existing objects, and detailed design before any code is written.
complete workflow to create talking character videos with lipsync and captions. use when creating ai character videos, talking avatars, narrated content, or social media character content with voiceover.
Use this skill when writing, editing, reviewing, or improving documentation in this repository. Activates for tasks involving content in `content/docs/` or `content/guides/`, Markdown files, or any documentation-related request.
Maintain GOALS.yaml and GOALS.md fitness specifications. Measure fitness, manage directives, track drift, add/prune goals. Triggers: "goals", "goal status", "show goals", "add goals", "prune goals", "clean goals", "goal drift", "goal history", "export goals", "meta goals", "migrate goals".
Maintain GOALS.yaml and GOALS.md fitness specifications. Measure fitness, manage directives, track drift, add/prune goals. Triggers: "goals", "goal status", "show goals", "add goals", "prune goals", "clean goals", "goal drift", "goal history", "export goals", "meta goals", "migrate goals".
Multi-model consensus council. Spawns parallel judges with Codex session agents when available. Modes: validate, brainstorm, research. Triggers: "council", "get consensus", "multi-model review", "multi-perspective review", "council validate", "council brainstorm", "council research".
Multi-model consensus council. Spawns parallel judges with configurable perspectives. Modes: validate, brainstorm, research. Triggers: "council", "get consensus", "multi-model review", "multi-perspective review", "council validate", "council brainstorm", "council research".
New user onboarding. Detect setup, explain what AgentOps does, give one next action. Under 30 seconds. Triggers: "quickstart", "get started", "onboarding", "how do I start".
Use when you have 2+ tasks that Codex agents should execute. Runtime-native: Codex sub-agents when available, Codex CLI fallback otherwise. Handles file conflicts via merge/wave strategies. Triggers: "codex team", "spawn codex", "codex agents", "use codex for", "codex fix".
Generates, validates, and syncs documentation for any repository type. Produces code-maps, checks doc coverage, finds missing docs, and validates existing documentation against code. Triggers: doc, documentation, code-map, doc coverage, validate docs, generate docs, sync docs, update docs, find missing docs.
Meta skill explaining the AgentOps operating model. Hook-capable runtimes inject it at session start; Codex uses it through the explicit startup fallback. Covers bookkeeping, validation, primitives, flows, the RPI lifecycle, and the skill catalog.
Generates, validates, and syncs documentation for any repository type. Produces code-maps, checks doc coverage, finds missing docs, and validates existing documentation against code. Triggers: doc, documentation, code-map, doc coverage, validate docs, generate docs, sync docs, update docs, find missing docs.
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.
