Gathering Planning
CheckedAutumnsgrove's gathering-planning analyzes resource locations & schedules efficient collection routes for optimal yields.
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 autumnsgrove/lattice --skill gathering-planning -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
autumnsgrove
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 autumnsgrove/groveengine at edebdc71a7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- edebdc71a7
- Scanned
- 1 file, 221 lines
About this skill
The gathering-planning skill enables AI agents to systematically organize information collection and strategize subsequent actions based on gathered data. It facilitates structured workflows where an agent can define specific goals, identify necessary resources, and outline steps before execution begins.
When to use it
- Initiating complex research tasks that require a defined scope before data retrieval starts.
- Coordinating multi-step projects where the plan must evolve as new information is discovered.
- Structuring brainstorming sessions to ensure diverse inputs are captured and categorized logically.
- Preparing for decision-making processes by first establishing criteria and gathering relevant evidence.
Key capabilities
- Defines clear objectives and constraints for information gathering tasks.
- Identifies specific data points or resources required to achieve a goal.
- Generates structured action plans outlining the sequence of collection activities.
- Adapts planning strategies dynamically based on initial findings or changing requirements.
Example prompts
- "Create a detailed plan for gathering market research on sustainable packaging materials, including specific sources and validation methods."
- "Help me outline a strategy to collect user feedback for our new feature launch, defining the channels and metrics we need to track."
- "Draft a step-by-step guide for an agent to gather historical weather data for a specific region before generating a climate report."
Tips & gotchas
Ensure you provide clear success criteria in your initial prompt so the planning phase has concrete targets to aim for. This skill is most effective when used as a precursor to data retrieval or analysis skills, ensuring the agent knows exactly what to look for once the plan is set.