Simulate LSP-based code edits in memory before applying them to disk.
npx skills add https://github.com/blackwell-systems/agent-lsp --skill lsp-simulate
Please help me install this Agent Skill. Skill: lsp-simulate Source: https://github.com/blackwell-systems/agent-lsp/tree/main/skills/lsp-simulate Command: npx skills add https://github.com/blackwell-systems/agent-lsp --skill lsp-simulate
Simulate code edits in memory before applying changes to disk, enabling safe planning and validation of multi-file edits without touching live files.
Create a simulation session, apply edits in memory, then evaluate the session to decide whether to commit.
High-intent search queries and answers about installing and using this skill.
In-memory LSP simulation applies code edits to an overlay rather than disk, allowing you to validate multi-file refactors with real-time diagnostics. You can evaluate the session stepwise and choose to commit or discard the resulting patch safely.
Yes, you can test risky workspace refactors without modifying live files by running an in-memory LSP simulation. The workflow applies edits to an overlay, evaluates diagnostics stepwise, and discards the session if errors occur, keeping your workspace untouched.
Yes, an agent-lsp server is required to run in-memory edit simulations. It provides the diagnostic overlay necessary to evaluate code changes in memory and supports the start, simulate, evaluate, commit, and destroy workflow operations.
The best way to plan chained edits across multiple files is using an in-memory simulation session. This workflow supports applying sequential edits, evaluating real-time LSP diagnostics at each step, and committing the validated patch only when ready.
Stepwise evaluation in simulated code refactoring works by applying edits to an in-memory LSP overlay and checking diagnostics after each step. You can review errors incrementally, deciding whether to continue chaining edits, commit the patch, or destroy the session.
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