Files
dev_agent_team/skills/browser-automation/SKILL.md
T
Your Name 2dabf8ef03 Phase 1-3: Add memory, skills, and improvement systems
- memory/: cross-session project memory with decisions, lessons, failures,
  architecture, and sessions categories. Each has format templates and
  lifecycle documentation.
- skills/: 12 reusable specialized methodologies (tdd, systematic-debugging,
  architecture-design, code-review, security-review, repository-analysis,
  failure-analysis, refactoring, test-analysis, incident-investigation,
  browser-automation, research). Each has frontmatter and methodology sections.
- improvements/: proposal-based improvement system requiring human approval.
- scripts/memory-lifecycle.sh: deterministic memory operations (recall, store,
  list, search, sessions, cleanup).
- scripts/test-memory-system.sh: 12 structural tests for all new systems.
- orchestrator.md: added Memory Recall stage, Learning and Memory Storage
  stage, Improvement Proposals workflow, memory/skills rules, and 3 new
  actions (A23-A27) to the action catalog. Updated behavioral acceptance test
  and state separation model.
- All 12 subagents: added Memory & Skills Awareness sections with recall
  and store instructions.
- docs/AGENT_ARCHITECTURE.md: documented memory, skills, and improvements
  systems (sections 12-14). Updated action count (27), state model, and
  remaining weaknesses.
- README.md: documented new systems, updated repository layout, added
  test-memory-system.sh documentation.

All 39 tests pass (16 architecture + 12 memory + 11 bootstrap).
2026-09-08 04:31:40 -04:00

1.1 KiB

name, description, version, owner, prerequisites
name description version owner prerequisites
browser-automation Browser automation patterns — web interaction, scraping, and testing 1.0 Explorer web technology available, target URL known

Browser Automation

When to use this skill

  • Web content needs to be fetched and analyzed
  • UI behavior needs to be verified
  • API documentation needs to be read from web sources

Core methodology

IDENTIFY TARGET → SELECT TOOL → FETCH/INTERACT → ANALYZE → RECORD

Patterns

Content fetching

  • Use webfetch tool for static content
  • Prefer markdown format for readability
  • Handle errors and timeouts gracefully

Research

  • Use websearch for finding information
  • Use webfetch for reading specific pages
  • Cite sources with URLs

Verification

  • Fetch expected content
  • Compare with actual behavior
  • Document discrepancies

Common pitfalls

  • Assuming content hasn't changed since last fetch
  • Not handling rate limits
  • Fetching more than needed (context bloat)
  • Trusting web content without verification

Exit criteria

  • Content fetched and analyzed
  • Sources cited
  • Findings recorded