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Agent Skill

Research External skill

research-externalparcadei/Continuous-Claude-v3.claude/skills/research-external/SKILL.md

External research workflow for docs, web, APIs - NOT codebase exploration

3.9kMIT

always on

18 tokname + description

once used

2,882 tokSKILL.md body

bundled files

0

repo stars

3.9kGitHub

Install the Research External skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill research-external

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git /tmp/Continuous-Claude-v3
mkdir -p ~/.claude/skills
cp -R /tmp/Continuous-Claude-v3/.claude/skills/research-external ~/.claude/skills/research-external

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description18 tok
When the agent uses itThe SKILL.md instructions2,882 tok
Only if openedNo bundled files—

Until it is used, research-external costs about 76× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from parcadei/Continuous-Claude-v3 would load 2,175 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Pre-approved tools (allowed-tools): Bash, Read, Write, Task. The agent can use these without asking while the skill is active.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • External Research Workflow
  • Invocation
  • Question Flow (No Arguments)
  • Phase 1: Research Type
  • Phase 2: Specific Topic
  • Phase 3: Library Details (if library focus)
  • Phase 4: Depth
  • Phase 5: Output
  • Summary Before Execution
  • Focus Modes (First Argument)
  • Options
  • Workflow
  • Step 1: Parse Arguments
  • Step 2: Execute Research by Focus
  • Step 3: Synthesize Findings
  • Step 4: Write Output
  • Step 5: Return Summary
  • Error Handling
  • Examples
  • Library Research (Shallow)
  • Best Practices (Thorough)
  • General Research for Handoff
  • Quick Library Lookup
  • Integration with Other Skills

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