write-issue
Write and file Linear issues (bugs and feature requests) the Agenta way. Use when the user asks to create, file, or draft a Linear or GitHub issue, write a bug…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-08 00:04
Agents & models
25,881 results
write-template-playbooks
Write a template playbook for the build-an-agent skill: a 1-2 KB per-use-case file that teaches the builder agent to configure one kind of Agenta agent…
agentbay-monitor-skill
Public opinion monitoring skill, with the final output being a public opinion report. Convention: any mention of "public opinion analysis" means executing the full workflow (crawling → sentiment analysis → report generation). Crawling is completed by this skill; sentiment analysis is autonomously determined by the main Agent according to the prompt; the report is generated by generate_report.
awiki-agent-id-message
Verifiable DID identity and end-to-end encrypted inbox for AI Agents. Built on ANP (Agent Network Protocol) and did:wba. Provides self-sovereign identity,…
agently-triggerflow-orchestration
Event-driven TriggerFlow orchestration patterns and branching.
agently-input-composition
Use when composing Agently model input through prompt slots, quick prompt methods, agent-vs-request prompt layering, placeholder mappings, chat history,…
agently-knowledge-base-and-rag
Use when building Agently knowledge-base or RAG workflows with `agently.integrations.chromadb`, including `ChromaCollection`, embedding-agent-backed indexing,…
agently-langchain-langgraph-migration-playbook
Use when migrating a LangChain or LangGraph codebase, mental model, or architecture into Agently, especially to decide whether the source design maps to…
agently-mcp
Use when exposing MCP server tools to Agently through `agent.use_mcp(...)` or `tool.use_mcp(...)`, including stdio or HTTP transports, schema mapping into…
agently-model-request-playbook
Use when analyzing a business requirement around one Agently model request or request-adjacent capability, especially to decide whether the solution should…
agently-multi-agent-patterns
Use when designing a multi-agent solution in Agently, especially to decide whether the business problem should stay one request, become a team of specialized…
agently-prompt-config-files
Use when Agently prompts need to be externalized as YAML or JSON config, loaded from files or strings, selected by key path, parameterized with mappings,…
agently-session-memo
Use when managing Agently conversation continuity through `activate_session()`, session ids, session-backed chat history, automatic turn recording,…
agently-tools
Use when registering, attaching, or controlling Agently tools, including `@agent.tool_func`, `register_tool(...)`, `use_tools(...)`, built-in tools such as…
agently-triggerflow-config
Use when exporting, importing, copying, or inspecting TriggerFlow definitions, including `save_blue_print()`, `load_blue_print()`, `get_flow_config()`,…
agently-triggerflow-execution-state
Use when saving, loading, or resuming a running TriggerFlow execution, including `execution.save()`, `execution.load()`, restoring waiting or ready result…
agently-triggerflow-interrupts-and-stream
Use when implementing explicit TriggerFlow interrupt or runtime-stream behavior, such as human-in-the-loop waiting, external resume, pending-interrupt…
agently-triggerflow-model-integration
Use when a TriggerFlow workflow needs Agently model requests inside flow chunks, including async-first request execution, per-step request isolation,…
agently-triggerflow-orchestration
Use when building basic TriggerFlow workflows for async-first, signal-driven orchestration with chunks, events, `to(...)`, `when(...)`, `if_condition(...)`,…
agently-triggerflow-patterns
Use when implementing common TriggerFlow orchestration patterns such as routers, fan-out and fan-in, `batch(...)`, `for_each(...)`, `collect(...)`,…
agently-triggerflow-playbook
Use when analyzing a business requirement that may need TriggerFlow, especially to decide whether the solution should use TriggerFlow orchestration, reusable…
agently-triggerflow-state-and-resources
Use when designing TriggerFlow state placement and dependency boundaries, including `runtime_data` vs `flow_data`, flow-level vs execution-level runtime…
agently-triggerflow-subflows
Use when a TriggerFlow workflow needs an isolated child flow through `to_sub_flow(...)`, especially for reusable nested workflows, `capture`, `write_back`,…
meta-methodology-improvement-protocol
Self-improvement protocol for agents modifying their own prompts/configurations. Evidence-based improvements, structured changes, proven patterns from research.