fetching-blocked-urls/SKILL.md
Retrieve clean markdown from URLs when web_fetch fails. Converts pages via Jina AI reader service with automatic retry. Use when web_fetch or curl returns 403, blocked, paywall, timeout, JavaScript-rendering errors, or empty content or user explicitly suggests using jina.
npx skillsauth add oaustegard/claude-skills fetching-blocked-urlsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Retrieve readable content from URLs that web_fetch cannot access. Jina AI's reader service renders JavaScript, bypasses soft blocks, and returns clean markdown.
Invoke this skill immediately when web_fetch returns:
curl -s --max-time 30 "https://r.jina.ai/TARGET_URL"
The service returns markdown with page title, body text, and preserved links.
Jina's backend has ~10% intermittent failures. Use retry logic to achieve 99%+ success:
for attempt in 1 2 3; do
result=$(curl -s --max-time 30 "https://r.jina.ai/TARGET_URL" 2>&1)
echo "$result" | grep -q "upstream connect error" || { echo "$result"; break; }
[ $attempt -lt 3 ] && sleep 1
done
Attempt this fallback before asking users to copy-paste content manually.
Jina returns structured markdown:
Title: page titleURL Source: original URLMarkdown Content: extracted body text, links preservedr.jina.ai is whitelisted in Claude container network configuration.
testing
Disciplined, validation-gated revision of an EXISTING skill so each edit is a measured improvement rather than a guess. Use when editing, revising, or tuning a skill that already exists and there is evidence it underperforms (observed failures, drift, complaints) — invoke by name, or have versioning-skills / creating-skill defer to it before applying edits. Not for authoring a brand-new skill from scratch (use creating-skill) or one-off prose.
development
Skill-aware orchestration with context routing. Decomposes complex tasks into skill-typed subtasks, extracts targeted context subsets, executes subagents in parallel, and synthesizes results. Self-answers trivial lookups inline. No SDK dependency — uses raw HTTP via httpx. Use when tasks require multiple analytical perspectives, when context is large and subtasks only need portions, or when orchestrating-agents spawns too many redundant subagents.
tools
Orchestrates parallel API instances, delegated sub-tasks, and multi-agent workflows with streaming and tool-enabled delegation patterns. Use for parallel analysis, multi-perspective reviews, or complex task decomposition.
development
Invokes Google Gemini models for structured outputs, image generation, multi-modal tasks, and Google-specific features. Use when users request Gemini, image generation, structured JSON output, Google API integration, or cost-effective parallel processing.