feat(skills): rename "agent-browser" skill to "core"; make CLI-served main skill actually useful (#1253)
Before this change, the main skill served by the CLI (`agent-browser
skills get agent-browser`) was a ~40-line discovery stub whose content
was essentially "run `agent-browser skills get <name>` before doing
anything." Agents already inside the CLI got no signal from it — the
content they needed to actually use the tool lived only in the `--full`
references.
Split the two jobs apart:
- **`skill-data/core/`** (new) — the runtime usage guide. 420-line
`SKILL.md` covering the snapshot-and-ref loop, common workflows
(login, extract, screenshot, multi-tab, sessions, iframes, dialogs),
waiting strategies, element selection strategies, troubleshooting,
and when to load a specialized skill. Supplementary `references/` and
`templates/` (moved from `skills/agent-browser/`) provide the full
command reference under `--full`.
- **`skills/agent-browser/SKILL.md`** — still the discovery stub that
`npx skills add` installs, now marked `hidden: true` so it stays out
of `skills list` inside the CLI. Body is a clean pointer to
`agent-browser skills get core` and the specialized skills.
The `hidden: true` frontmatter flag is a new, general mechanism: skills
marked hidden are omitted from `skills list` and `skills get --all` but
can still be fetched by explicit name. This keeps the stub reachable
for anyone who installed via `npx skills add` without polluting the
CLI-side skill listing.
## Behavior
```
$ agent-browser skills list
agentcore Run agent-browser on AWS Bedrock AgentCore cloud browsers...
core Core agent-browser usage guide. Read this before running...
dogfood Systematically explore and test a web application...
electron Automate Electron desktop apps (VS Code, Slack, Discord...)
slack Interact with Slack workspaces using browser automation...
vercel-sandbox Run agent-browser + Chrome inside Vercel Sandbox microVMs...
$ agent-browser skills get core # the actual usage guide
# ~420 lines of workflows, patterns, troubleshooting
$ agent-browser skills get agent-browser # still works if called explicitly
# the thin stub, now pointing at `core`
```
External `npx skills add vercel-labs/agent-browser` behavior is
unchanged: it finds and installs the thin `agent-browser` stub, which
tells the agent to run `agent-browser skills get core` for real
content. Version drift protection is preserved — the stub is the only
thing that gets copied; the real content is always runtime-fetched.
## Updated
- `cli/src/skills.rs` — `SkillInfo.hidden: bool`, parsed from
frontmatter; `run_list` and `run_get --all` filter it. 3 new unit
tests for the frontmatter parser.
- `cli/src/output.rs` — top-level `--help` and `skills` subcommand help
reference `skills get core` / `skills get core --full`.
- `AGENTS.md` — "update these files for user-facing features" now
points at `skill-data/core/` instead of the stub, with a note that
the stub is not the right place for feature content.
- `README.md`, `docs/src/app/skills/page.mdx` — describe the new
split and `skills get core --full` as the recommended entry point.
- `evals/cases/{command-usage,skill-selection}.ts` — expect
`skills get core` in agent output instead of `skills get
agent-browser`. Eval lib still reads `skills/agent-browser/SKILL.md`
(simulating what an agent sees after `npx skills add`).
All 11 skills unit tests pass. `cargo clippy -- -D warnings` and
`cargo fmt --check` clean. Verified end-to-end: `skills list` shows
`core` + specialized (no stub), `skills get core` returns the new
content, `skills get agent-browser` still returns the stub on explicit
request.
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#!/bin/bash
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# Template: Content Capture Workflow
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# Purpose: Extract content from web pages (text, screenshots, PDF)
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# Usage: ./capture-workflow.sh <url> [output-dir]
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#
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# Outputs:
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# - page-full.png: Full page screenshot
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# - page-structure.txt: Page element structure with refs
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# - page-text.txt: All text content
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# - page.pdf: PDF version
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#
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# Optional: Load auth state for protected pages
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set -euo pipefail
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TARGET_URL="${1:?Usage: $0 <url> [output-dir]}"
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OUTPUT_DIR="${2:-.}"
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echo "Capturing: $TARGET_URL"
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mkdir -p "$OUTPUT_DIR"
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# Optional: Load authentication state
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# if [[ -f "./auth-state.json" ]]; then
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# echo "Loading authentication state..."
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# agent-browser state load "./auth-state.json"
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# fi
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# Navigate to target
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agent-browser open "$TARGET_URL"
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agent-browser wait --load networkidle
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# Get metadata
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TITLE=$(agent-browser get title)
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URL=$(agent-browser get url)
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echo "Title: $TITLE"
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echo "URL: $URL"
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# Capture full page screenshot
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agent-browser screenshot --full "$OUTPUT_DIR/page-full.png"
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echo "Saved: $OUTPUT_DIR/page-full.png"
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# Get page structure with refs
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agent-browser snapshot -i > "$OUTPUT_DIR/page-structure.txt"
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echo "Saved: $OUTPUT_DIR/page-structure.txt"
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# Extract all text content
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agent-browser get text body > "$OUTPUT_DIR/page-text.txt"
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echo "Saved: $OUTPUT_DIR/page-text.txt"
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# Save as PDF
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agent-browser pdf "$OUTPUT_DIR/page.pdf"
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echo "Saved: $OUTPUT_DIR/page.pdf"
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# Optional: Extract specific elements using refs from structure
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# agent-browser get text @e5 > "$OUTPUT_DIR/main-content.txt"
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# Optional: Handle infinite scroll pages
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# for i in {1..5}; do
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# agent-browser scroll down 1000
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# agent-browser wait 1000
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# done
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# agent-browser screenshot --full "$OUTPUT_DIR/page-scrolled.png"
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# Cleanup
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agent-browser close
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echo ""
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echo "Capture complete:"
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ls -la "$OUTPUT_DIR"
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