Web to Markdown

Deterministic, console-first extraction workflow for user-provided URLs. Enforces a fixed fallback chain to maximize content quality without open-ended browsing.

When to Use

• The user provides one or more specific URLs.
• The task requires reading, extracting, summarizing, or analyzing those URLs.
• A deterministic fallback order is preferred over open-ended browsing.

Do not use for open-ended web discovery unless the user explicitly asks for discovery first.

Fallback Chain

For each URL, attempt in order. Stop at the first sufficient result.

1. markdown.new (AI mode)

curl -s "https://markdown.new/{URL}?method=ai"

2. markdown.new (Auto mode)

Only if step 1 is insufficient or timed out:

curl -s "https://markdown.new/{URL}?method=auto"

3. r.jina.ai (Browser engine)

Only if steps 1–2 are insufficient or timed out:

curl -s "https://r.jina.ai/{URL}" -H "X-Engine: browser"

4. Agent tools (last resort)

If all three prefixes fail, report the failure and fall back to the agent's own extraction tools. This is outside the skill's chain — acknowledge it as a fallback.

Quality Gate

After each step, content is insufficient when any condition is true:

• Main article or body text is missing
• Content is clearly truncated
• Output is mostly navigation, boilerplate, placeholders, or login walls
• Useful text is too short for the task
• Important sections requested by the user are absent

Rule of thumb: Under ~1,200 useful characters for an article page is almost certainly truncated. Naturally short pages (announcements, status updates) may be legitimately brief — use judgment.

URL Handling

• Preserve the protocol when present.
• Ensure the URL is shell-safe and quoted in all curl commands.
• Process each URL independently when multiple are provided.

Provenance Reporting

Report exactly one final source label per extracted URL in your response:

Workflow

1. Scope gate — Only process URLs explicitly provided by the user. If discovery is needed, use web search first and confirm candidate URLs before extraction.
2. Normalize — Quote URLs, preserve protocol.
3. Extract — Run the fallback chain per URL.
4. Quality gate — Check each result against the insufficiency conditions.
5. Continue — Use the richest sufficient source for the task.
6. Report — Include provenance labels in the final response.

Best Practices

• Keep extraction deterministic — explicit fallback transitions, state why each happened.
• Prefer reproducible commands with quoted URLs.
• Conservative timeout handling: continue immediately to the next fallback when blocked.
• Preserve source traceability via provenance labels.
• Avoid tool-specific assumptions beyond curl and standard HTTP endpoints.

Edge Cases

• Page blocks automated access: Skip to next fallback immediately.
• Multiple URLs: Apply the same sequence to each independently.
• Naturally short pages: Accept shorter content when it satisfies the request.
• All prefixes fail: Report failure clearly, then use agent tools as last resort.

Common Pitfalls

1. Output format must be markdown. If any level returns raw HTML or another format, it breaks the contract. Test each level independently.
2. Don't skip testing lower fallback levels just because the top level works. A chain is only as reliable as its weakest link.
3. Quality is subjective — the 1,200-char heuristic is a guideline, not a hard rule. Apply judgment for short-form content.

Verification Checklist

• curl is installed (which curl)
• Extraction starts with markdown.new?method=ai
• method=auto is tried only after ai fails
• r.jina.ai is tried only after both markdown.new attempts fail
• All three prefixes failing → report + fall back to agent tools
• Quality checks include: missing body, truncation, boilerplate, too-short content
• Final response includes provenance label per URL