Planning With Files
CheckedPlans complex tasks using fluid-tools, accessing and manipulating files to achieve goals through sequential actions.
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 op0ai/claude-skills --skill planning-with-files -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
fluid-tools
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 fluid-tools/claude-skills at 4d09914bf5.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 4d09914bf5
- Scanned
- 6 files, 978 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
This skill enables AI agents to plan and execute tasks involving files. It allows for sequential steps, each potentially interacting with a file (reading, writing, modifying). The agent can reason about file contents and use this information in its planning process, ultimately leading to complex workflows based on file manipulation.
When to use it
- Automated report generation: Create reports by extracting data from multiple CSV files and combining them into a final document.
- Code refactoring: Plan steps for automated code modifications across several source code files.
- Data processing pipelines: Design workflows that read, transform, and write data between different file formats (e.g., converting JSON to Parquet).
- Document summarization: Extract key information from a series of documents and synthesize it into a concise summary.
Key capabilities
- File reading and writing
- Sequential task planning
- Reasoning about file contents
- File format manipulation (implied)
Example prompts
- "Create a plan to combine the data from
sales_data_2023.csvandsales_data_2024.csvinto a single CSV file namedcombined_sales.csv." - “I have several text files containing customer reviews. Plan how I can extract common themes and write them to a summary document.”
- "Read the contents of
config.json, then create a plan to update values insettings.txtbased on those configurations."
Tips & gotchas
- Ensure the AI agent has appropriate file access permissions before using this skill.
- Complex planning involving many files can be computationally intensive and may require significant processing time.