Task
CheckedThis "Task" skill helps you break down complex goals into manageable steps, boosting productivity and ensuring nothing slips through the cracks.
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 braselog/researchassistant --skill task -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
braselog
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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
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 braselog/researchassistant at 6e1e60a1d7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6e1e60a1d7
- Manifest
- .github/skills/task/SKILL.md
- Scanned
- 2 files, 150 lines
About this skill
What it does
This skill allows an AI agent to perform tasks. It's designed to execute instructions and complete actions based on user prompts, effectively acting as a general-purpose executor within the AI environment. The skill aims to simplify complex workflows by breaking them down into manageable steps that the agent can follow sequentially.
When to use it
- Automating repetitive processes: Use this when you need an AI agent to handle tasks like data entry or file organization.
- Executing multi-step instructions: Ideal for scenarios where a task requires several actions in a specific order, such as booking travel arrangements.
- Simplifying complex workflows: Delegate intricate procedures by breaking them into smaller, executable steps.
- Acting as an intermediary: Use it to trigger external tools or services based on user requests.
Key capabilities
- Task execution
- Instruction following
- Sequential action processing
Example prompts
- "Please create a new document named 'Meeting Notes' and save it in the 'Documents' folder."
- "Book a flight from New York to Los Angeles for next Tuesday morning."
- "Send an email to John Doe summarizing the key points of this report."
Tips & gotchas
The skill’s effectiveness depends on clear and concise instructions. Ambiguous prompts may lead to unexpected or incorrect results, so be as specific as possible when defining tasks.