Editorial and source context
What this Skill does
Planning With Files is a source-indexed Agent Skill for data, research & analysis work. Based on the SKILL.md description, it focuses on persistent file-based planning for multi-step ai-agent work. Use the linked GitHub file to confirm scope and prerequisites before enabling it.
What the author says
Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.
Compatibility and requirements
- Use an agent runtime that supports Agent Skills and the linked SKILL.md format.
- Confirm the source repository's tools, SDKs, and platform prerequisites for data analysis work.
How to install or import it
- Open the linked GitHub SKILL.md and review its scope and setup instructions.
- Install or import the skill using the agent runtime's documented workflow.
- Run a small, non-sensitive test and verify the output before broader use.
Permissions and risks
- Review every command, file path, network request, dependency, and credential scope before enabling it.
- GitHub stars indicate popularity, not safety or correctness; validate the source and test with non-sensitive data.
Example workflows
- Ask an AI agent to apply Planning With Files to data analysis work described in the source record.
- Have the agent state assumptions, required tools, and expected output before using this data, research & analysis skill.
- Compare the result with the linked GitHub SKILL.md and verify it against your project requirements.
Related Agent Skills
More source records in Data, Research & Analysis.