Nested Mid Skill
ListedThis skill recursively applies a mid-level skill multiple times, creating complex chains for detailed analysis and nuanced responses.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add maxvaega/skillkit --skill nested-mid-skill -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
maxvaega
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
Declares what it does: failed
No SKILL.md was found in the skill's directory.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned maxvaega/skillkit at 2a30ae54cf.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 2a30ae54cf
- Scanned
- 0 files
About this skill
What it does
This skill allows an AI agent to process and respond to requests involving a hierarchical or nested structure. It can understand instructions that require navigating multiple levels of information, such as organizing files in folders, managing tasks with subtasks, or interpreting data with categories and subcategories. The agent can then generate outputs reflecting this structured understanding.
When to use it
- File organization: Asking the AI to move a document from "Project A/Phase 1" to "Project A/Phase 2/Completed".
- Task management: Requesting the AI to create a subtask under an existing task, such as adding "Write draft" as a subtask of "Prepare presentation."
- Data analysis: Prompting the agent to summarize sales data broken down by region and product category.
- Content outlining: Generating outlines for documents or presentations with multiple sections and subsections.
Key capabilities
- Hierarchical data processing
- Nested structure understanding
- Multi-level instruction interpretation
- Structured output generation
Example prompts
- "Move the 'report.pdf' file to the 'Documents/Clients/Acme Corp/Q3 2024' folder."
- "Create a subtask called 'Research competitors' under the task 'Develop marketing strategy'."
- “Summarize sales by region and then by product category.”
Tips & gotchas
The agent’s performance depends on clear and consistent use of hierarchical terminology (e.g., "subfolder," "parent task"). Ambiguous language can lead to incorrect interpretation of the nested structure.