Use this skill when delegating complex autonomous tasks to Manus AI - an AI agent that can browse the web, execute code, generate files, and comple...
SkillScore96Maintained
Automatic
◆AI Engineer pack
Last verified 9/2/2026
What it changes
Passed 22 of 23 test cases with the skill, and 6 of 23 without it.
Without skill26%
With skill96%
Checks it passed that the model alone missed
advises adding credits at manus.im
uses the command manus playbook list
uses the command ai-delegate compare
and 19 more in the full report
16 fixed6 passed either way1 still failing0 broke
Pass-rate lift
+70 pp
Tokens
+78%
Agent turns
0%
Response time
-47%
Model gemini-3.6-flashMeasured 9/2/2026v122 of 23 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 16 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 16
Prompt
What is the CLI command to run a comprehensive market analysis using the pre-built playbook template for electric vehicles?
What was checked, without and with the skill
Checked
Without skill
With skill
uses manus playbook use market-research with the electric vehicles argument
Missed
Passed
case-08 · gemini-3.6-flash · 9/2/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md307 linessingle file
Manus AI Agent Integration
Use this skill when delegating complex autonomous tasks to Manus AI - an AI agent that can browse the web, execute code, generate files, and complete multi-step workflows independently.
When to Use Manus
Research tasks: Market research, competitor analysis, fact-checking
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm