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Found 7,154 Skills
Run comprehensive agent-native architecture review with scored principles
Fetch and extract full article content from URLs. Returns complete text with structure (headings, links, lists) instead of summaries. 7 extraction strategies, browser impersonation, 200-700ms.
Create new agents in Paperclip with governance-aware hiring. Use when you need to inspect adapter configuration options, compare existing agent configs, draft a new agent prompt/config, and submit a hire request.
Use when the user wants stable structured fields, required keys, reliable machine-readable sections, or downstream-consumable output from one model request, including `.output(...)`, field ordering, and `ensure_keys`.
Use when a migration is already known to stay on the LangChain agent side, including agent setup, tools, structured output, retrieval, and short-term memory.
Use when the user wants embeddings, vector indexing, retrieval, or retrieval-backed answers, including embedding-agent setup, Chroma-backed collections, collection add/query, and KB-to-answer flows.
Use when the user wants to reuse one model result, read text/data/meta without re-requesting, or stream partial updates, including `get_response()`, async getters, `delta`, `instant`, and `specific`.
Use when the user wants tool use, MCP access, HTTP or streaming API exposure, auto-function helpers, or wait-for-key behavior through Agently-native extension surfaces rather than custom wrappers first.
Use when the user needs workflow orchestration such as branching, concurrency, approvals, waiting and resume, runtime stream, restart-safe execution, mixed sync/async function or module orchestration, event-driven fan-out, process-clarity refactors that make stages explicit, performance-oriented refactors that collapse split requests, or explicit draft-review-revise style multi-stage flows. The user does not need to say TriggerFlow explicitly.
Use when the user is shaping how one model request or request family should be instructed or templated, including prompt slots, input/instruct/info layering, mappings, recursive placeholder injection, prompt config, YAML or config-file-driven prompt behavior, and reusable prompt structure.
Use when the user needs conversation continuity, memo, or restore-after-restart behavior for a request family, including session ids, chat history, request-side memory boundaries, and session-backed continuity.
Create or edit Claude Code skills with expert guidance on structure and best practices