scrape-define
SkillCreate a new extraction spec from a URL — explore a detail page, discover fields, quick schema approval
Install
git clone https://github.com/zytedata/claude-skills.git ~/.claude/skills/scrape-defineWhat is scrape-define?
Create a new extraction spec from a URL — explore a detail page, discover fields, quick schema approval
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Run shell commands
Declares Bash
Create and modify files
Declares Write or Edit
~26 tokens of context used while enabled, before you invoke anything
All declared tools (6)
AgentAskUserQuestionBashReadSkillWriteDocumentation
README · ~5 min readYou are helping the user quickly define what to extract from a website. Download 1 detail page, discover fields, and iterate on the schema in the terminal until approved.
Read ${CLAUDE_SKILL_DIR}/../scrape/references/python-environments.md.
The output is a draft spec folder with an approved schema and values (no stored pages — those are Stage 2's job). It can be expanded with /scrape-spec (more pages, variant comparison, navigation).
Hard constraints — never violate these:
- You MUST NOT fetch, read, grep, or parse any HTML file yourself. Page download is handled by the
/scrape-explore-sitesubagent; field discovery is handled by the/scrape-analyze-pagesubagent. The main agent only orchestrates and consumes their outputs. - This includes
raw.html,rendered.html,*.cleaned.html, and any other saved page HTML. You may check whether a file exists, but you MUST NOT open it, print it, grep it, parse it, or run extraction scripts against it from the main agent. - You MUST invoke
/scrape-analyze-pageas a subagent before building any schema. Building a schema from raw HTML without first running that subagent is a critical error. - While waiting for
/scrape-analyze-page, do NOT read HTML files, runclean_html.py,extract_metadata.py, or any inline parser code, even if the agent response suggests continuing unrelated work. Wait for the subagent to complete, then read only its saved JSON output.
Parse intent
From $ARGUMENTS, determine:
Reviews
Log in to leave a review.
No reviews yet — be the first.
Explore related
Other things in this space — across every part of the ecosystem, not just skills.
Skillssimilar to this one
All skills →create-atomic-tool
Build a `BaseTool[InSchema, OutSchema]` subclass — input/output schemas, `BaseToolConfig`, `run()` (and optional `run_async()`), env-driven secrets, typed failure outputs. Use when the user asks to "add a tool", "create a tool", "wrap an API as a tool", "build a `BaseTool`", "make a calculator/searc
6.1K stars
create-atomic-context-provider
Build a `BaseDynamicContextProvider` that injects a named, titled block into an agent's system prompt at every `run()` — current time, user identity, retrieved RAG docs, session state, cached DB schema. Use when the user asks to "add a context provider", "inject X into the prompt", "give the agent d
6.1K stars
framework
Guide for the Atomic Agents Python framework — schemas, agents, tools, context providers, prompts, orchestration, and provider configuration. Use when code imports from `atomic_agents`, defines an `AtomicAgent`, `BaseTool`, or `BaseIOSchema`, or the user asks about multi-agent orchestration or LLM-p
6.1K stars
MCP Servers
All mcp servers →Subagents
All subagents →explore
Read-only code explorer that the plugin's other agents dispatch to map a codebase — locate files, trace how a flow is wired, find every caller of a symbol, answer "where does X happen".
32.8K stars
scan-verifier
Restricted read-only verifier dispatched by the Claude Security scan workflow to vote on one candidate finding; not for direct invocation.
32.8K stars
scan-researcher
Restricted read-only vulnerability researcher dispatched by the Claude Security scan workflow; not for direct invocation or general exploration.
32.8K stars
Plugins
All plugins →receipts
A personal Claude Code impact report for justifying your usage to a manager or a self-review: what you shipped, which projects it went to, and each project's share of your usage. Reads your ~/.claude/projects transcripts and runs read-only git locally; only counts and project names are sent to write
32.8K stars
atomic-agents
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and tool development. Features guided workflows, progressive-disclosure skills, and best practice validation.
6.1K stars
exa
Exa AI web search, deep research, and content extraction. Provides MCP tools and research skills for comprehensive web search, people discovery, company research, academic papers, and more.
4.8K stars
Hooks
All hooks →PostToolUse (mcp__.*__find_columns|mcp__.*__get_dataset_columns|mcp__.*__get_dataset)
Pre-query column validation via schema caching. Catches unknown column errors before they hit the API by building a per-session schema cache from find_columns / get_dataset_columns / get_dataset results.
PreToolUse (mcp__.*__run_query)
Pre-query column validation via schema caching. Catches unknown column errors before they hit the API by building a per-session schema cache from find_columns / get_dataset_columns / get_dataset results.
Commands
All commands →altimate
Delegate a task to altimate-code, the specialised data-engineering CLI agent (warehouse access, column-level lineage, cross-DB, FinOps, query optimization)
windsor-types
Generate TypeScript type definitions for a Windsor.ai connector's data schema
design-survey
Interactive design session for a new survey — research goal, audience, hypotheses, questions, modality, output schema