agentleFS
rstackjsrstackjs/agent-skills/skills/rsdoctor-analysis/SKILL.md

rsdoctor-analysis

Skill97 starsChanged 3 months agoMITView on GitHub

Use when analyzing Rspack/Webpack bundles from local `rsdoctor-data.json` and producing evidence-based optimization recommendations.

We split this skill into the rules it gives an agent

19 rules. About 0 are common, 9 are distinctive, and 10 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈9

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 10

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use the globally installed rsdoctor-agent CLI from @rsdoctor/agent-cli only after a real rsdoctor-data.json path exists.

    line 8
  2. Very specific:

    If data exists, skip all plugin version/config/build generation logic.

    line 16
  3. Very specific:

    If data is missing, stop analysis: do not run rsdoctor-agent analysis commands, do not run the Analysis Gate, and either ask for the data …

    line 17
  4. Very specific:

    After a real data file exists, run Analysis Gate at most once before the first rsdoctor-agent data-fetch command: verify global …

    line 18
  5. Distinctive:

    Run the ROI Triage Gate below before selecting deep-dive commands or recommendations.

    line 21
  6. Distinctive:

    Treat compiler discovery as the first data query, not part of the parallel evidence fetch:

    line 27
  7. Very specific:

    If the report has one named compiler, use its exact name for the entire analysis.

    line 29
  8. Very specific:

    If a legacy report returns one compiler with name: null, omit --compiler.

    line 31
  9. Very specific:

    Before fetching evidence, verify that every selected compiler's available field is true.

    line 34
  10. Distinctive:

    Before recommending fixes, classify the current build into broad cost buckets and choose the highest-ROI lever from evidence, not intuition.

    line 38
  11. Distinctive:

    Start with the largest bucket that maps to a practical fix.

    line 51
  12. Distinctive:

    Treat issuer/reference-chain tracing as second-pass work.

    line 52
  13. Distinctive:

    Do not present aggregate rule output as sufficient evidence for a fix that requires a concrete file, package, chunk, size, or dependency …

    line 53
  14. Distinctive:

    If the largest bucket is structural or intentionally required, say that it is a wall and name the external change that would be needed …

    line 54
  15. Distinctive:

    Default analysis stays within the Default Evidence Set.

    line 106
  16. Distinctive:

    Treat chain tracing, broad commands, optimization edits, splitChunks experiments, and build re-runs as opt-in follow-ups that require user …

    line 107
  17. Very specific:

    Prefer tree-shaking retained-modules --emitted-only --category side-effects --limit 10 with narrow --filter for side-effects investigations.

    line 109
  18. Very specific:

    Use tree-shaking summary only as fallback for missing fields or aggregate context.

    line 111
  19. Very specific:

    If any command exceeds 5k tokens, 500 KB raw output, or a few hundred transcript lines, stop broad fetching and switch to targeted compact …

    line 112

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Rsdoctor analysis assistant skill

Use the globally installed rsdoctor-agent CLI from @rsdoctor/agent-cli only after a real rsdoctor-data.json path exists. Keep analysis read-only unless the user explicitly asks for install/config setup.

Response order (required): High-Priority Issues -> Proposed Solutions -> Optional Reference-Chain Follow-up Choices -> Next Deep-Dive Issue Categories (Not commands).

Core workflow

  1. Reuse current-session results and valid .rsdoctor-analysis-cache.json entries before doing new work.
  2. Locate rsdoctor-data.json fast: user-provided path, then dist/rsdoctor-data.json, output/rsdoctor-data.json, static/rsdoctor-data.json, .rsdoctor/rsdoctor-data.json, then one bounded rg --files search excluding node_modules and .git. Treat manifest.json only as an index.
  3. If data exists, skip all plugin version/config/build generation logic. Update cache when useful.
  4. If data is missing, stop analysis: do not run rsdoctor-agent analysis commands, do not run the Analysis Gate, and either ask for the data path or run the Generation Gate below only when setup/generation is required.
  5. After a real data file exists, run Analysis Gate at most once before the first rsdoctor-agent data-fetch command: verify global @rsdoctor/agent-cli with npm view @rsdoctor/agent-cli version and rsdoctor-agent --version; install latest only if missing/outdated, a version-related error occurs, or the user asks to refresh.
  6. Discover compilers before analysis with rsdoctor-agent compilers list --data-file <path>, then follow the Compiler selection rules below.
  7. For each selected compiler, fetch only the Default Evidence Set first; run independent fetches in parallel when possible. Pass that compiler's --compiler <name> to every data-fetch command in its evidence pass.
  8. Run the ROI Triage Gate below before selecting deep-dive commands or recommendations. Use it to rank issue categories by measured impact, then synthesize findings in the required response order.

Performance rules: parallelize independent checks, cache only derived facts (dataFile, dataFileMtime, pluginName, pluginVersion, dependency/config/plugin modification times), and invalidate cache when paths disappear, modification times change, the user asks to refresh, or cached values fail. Speculative plugin checks must not trigger generation; use them only after confirming the data file is missing.

Compiler selection

Treat compiler discovery as the first data query, not part of the parallel evidence fetch:

  • If the report has one named compiler, use its exact name for the entire analysis.
  • If the report has multiple compilers, resolve each target named by the user to an exact compiler name. When the request identifies a target such as client, server, or worker but does not match an exact name, map it only when the discovery result makes the match unambiguous; if no target is given or a match is ambiguous, ask the user to choose from the returned names.
  • If a legacy report returns one compiler with name: null, omit --compiler.
  • For a single-compiler analysis, keep the same selected compiler across the Default Evidence Set and all follow-up queries. If the user explicitly requests cross-compiler analysis, select each requested compiler using the rules above (or all returned compilers when the user requests all), run a separate evidence pass with its own --compiler <name>, then compare clearly labeled results. Never mix results from different compilers within a pass.
  • For local JSON evidence in each pass, including E1001/E1002 summaries, read only the selected compiler entry's resolved data file returned by compilers list. Do not read the originally supplied aggregate or index file as compiler-scoped evidence.
  • Before fetching evidence, verify that every selected compiler's available field is true. If any is false, ask the user to restore or regenerate that compiler data file.

ROI triage gate

Before recommending fixes, classify the current build into broad cost buckets and choose the highest-ROI lever from evidence, not intuition. This gate is generic for Rspack/Webpack projects; do not use framework-specific runtime layers unless the user's project exposes them in the data.

Cost bucketEvidence sourceFirst lever
Assets/mediaassetsTop, assets media, chunkGraph.assetsCompress, convert, deduplicate, subset, or lazy-load large assets
Large packages/modulespackagesTop, module/package size fieldsReplace heavy packages, use deep imports, split non-critical code, or review direct dependency choices
Duplicate/cross-chunk costE1001/E1002, packages duplicates, cross-chunk package summariesDeduplicate versions, tune package resolution, or adjust splitChunks/cache groups
Tree-shaking wasteretainedModulesTop, retained CJS/barrel/side-effects modulesFix CJS/barrel imports, sideEffects declarations, or package entrypoints
Build-time costbuildCost, loaders/plugins/directories cost dataOptimize loaders/plugins, cache, watcher, or source-map/dev settings; prioritize only when the user asks about build performance

Decision rules:

  • Report the measured breakdown first when it changes recommendation priority.
  • Start with the largest bucket that maps to a practical fix; a smaller issue should not outrank a larger one unless the larger one is expected or intentionally unavoidable.
  • Treat issuer/reference-chain tracing as second-pass work. Run it only when a high-impact candidate needs ownership evidence, or when the user asks "why" / "who imported this".
  • Do not present aggregate rule output as sufficient evidence for a fix that requires a concrete file, package, chunk, size, or dependency path.
  • If the largest bucket is structural or intentionally required, say that it is a wall and name the external change that would be needed instead of inventing low-impact source edits.

Generation gate

Identify the project's bundler first. For webpack, follow the separate webpack 1.x generation guide; do not apply the Rspack 2.x gate below. For Rspack, check @rsdoctor/core and @rsdoctor/rspack-plugin in package.json, the lockfile, then installed package metadata. Use pnpm why / npm ls only as fallback. Resolve actual versions rather than inferring the major version from a dependency range, and stop if the selected plugin's peer dependency excludes the installed bundler. Check direct dependencies and active plugin registration separately from framework-owned transitive packages. @rsdoctor/core 1.x may be present for custom rules without providing the build plugin.

For Rspack, use this exact if/else decision tree; do not merge branches:

if Rspack actively registers both @rsdoctor/core 2.x and @rsdoctor/rspack-plugin 1.x:
  stop and report mixed plugins; do not install or build
else if Rspack has @rsdoctor/core 2.x:
  use or register the v2 plugin; configure output.mode='brief' and include 'json' in output.options.type; build with RSDOCTOR=true only
else if @rsdoctor/rspack-plugin is installed but its version is unknown:
  resolve its version first; if still unknown, configure output.mode='brief' and include 'json' in output.options.type; build with RSDOCTOR=true only
else if an installed @rsdoctor/rspack-plugin 1.x version is >= 1.5.11:
  do not edit plugin config just for JSON; build with RSDOCTOR_OUTPUT=json and RSDOCTOR=true if needed
else if an installed @rsdoctor/rspack-plugin 1.x version is older:
  configure output.mode='brief' and include 'json' in output.options.type; build with RSDOCTOR=true only
else: # no build plugin installed
  choose a compatible Rspack plugin, then configure brief JSON output and build with RSDOCTOR=true only

For an Rspack 2.x project without a plugin, install a compatible @rsdoctor/core 2.x version; do not install @rsdoctor/rspack-plugin. For Rspack 1.x, keep the compatible 1.x plugin. If installed versions or bundler compatibility cannot be determined, stop before installing. Check the plugin import path only when the package versions and active configuration appear inconsistent.

For Rspack builds, RSDOCTOR_OUTPUT=json is allowed only for a known 1.x plugin version >= 1.5.11. It is forbidden for 2.x, missing, unknown, or older plugin versions. When explicit JSON configuration is required, add 'json' to an existing brief output type rather than removing HTML; if changing a normal report temporarily, restore its previous output settings after generating data:

output: {
  mode: 'brief',
  options: {
    type: ['json'],
  },
}

Evidence and command bounds

Default Evidence Set:

Summary keyEvidence sourceBounds
buildCostbuild summaryfiltered fields only
assetsToptop assets by raw/gzip sizefixed Top-N
packagesToptop packages by gzip sizefixed Top-N; avoid full packages list pages
duplicatePackagesE1001 duplicate package summaryfirst-pass summary only
crossChunkPackagesE1002 cross-chunk duplication summaryfirst-pass summary only
retainedModulesToptree-shaking retained-modules --limit 10filtered fields only; no --compact

Scope rules:

  • Use rsdoctor-agent for bundle data access only after rsdoctor-data.json exists; prefer parallel independent fetches; bound output with --filter, pagination, and --limit. After discovery, pass the compiler selected for that evidence pass as --compiler <name> to every direct command and query call; omit it only for a legacy report whose discovered name is null.
  • Default analysis stays within the Default Evidence Set. For non-default analysis, choose minimal fields from references/rsdoctor-data-types.md and patterns from references/common-analysis-patterns.md.
  • Treat chain tracing, broad commands, optimization edits, splitChunks experiments, and build re-runs as opt-in follow-ups that require user confirmation.
  • For duplicate packages and tree-shaking issues, identify issues first; trace reference/import chains only after user confirmation.
  • Prefer tree-shaking retained-modules --emitted-only --category side-effects --limit 10 with narrow --filter for side-effects investigations.
  • For retained emitted modules, use tree-shaking retained-modules with --emitted-only, bounded --category, --sort gzipSize, --limit, and narrow --filter; do not pass --compact.
  • Use tree-shaking summary only as fallback for missing fields or aggregate context. Treat tree-shaking bailout-reasons as high-volume; run it only when explicitly requested and pass target --modules (max 100).
  • If any command exceeds 5k tokens, 500 KB raw output, or a few hundred transcript lines, stop broad fetching and switch to targeted compact queries.

Output and recovery

Output format:

  1. Issues found in the current build and recommended fixes:
    • Group each issue with its fix recommendation.
    • Include concrete evidence (size/time/count/path/rule code) and priority.
    • For duplicate packages and tree-shaking issues, include a short "continue tracing vs stop here" choice.
  2. Whether deeper analysis is still needed:
    • List remaining issue categories only, not commands.

For Top-N insights, prefer a table: Name | Volume/Time | Count | Recommendation.

Recovery rules:

  • rsdoctor-data.json missing: do not run rsdoctor-agent; ask for the data path or run Generation Gate, then use the matching install reference if setup is needed.
  • Command not found: run Analysis Gate, then retry with rsdoctor-agent.
  • query reports unknown tool: run list and use a catalog tool name, or switch to direct <group> <subcommand> mode.
  • COMPILER_REQUIRED: run compilers list, select the requested compiler or compilers using the rules above, and retry each evidence pass consistently with its own --compiler.
  • COMPILER_NOT_FOUND: refresh the compiler list and use an exact returned name; do not guess from displayName.
  • COMPILER_DATA_NOT_FOUND: ask the user to restore or regenerate the selected compiler data file.
  • JSON read error: verify file path, JSON validity, and permissions.
  • Run installs, builds, version checks, and rsdoctor-agent... commands only in the host's authorized command environment when it has the required project, dependency, and network access. If the available environment lacks that access, stop and ask the user instead of attempting to bypass the sandbox or permission boundary. Clearly identify the missing permission or access; if an Rsdoctor dependency must be installed, tell the user which dependency is required and provide the appropriate package-manager command for them to run.

References: commands/options references/command-map.md; install/config/data location references/install-rsdoctor.md, references/install-rsdoctor-rspack.md, references/install-rsdoctor-webpack.md, references/install-rsdoctor-common.md; raw data fields references/rsdoctor-data-types.md; common patterns references/common-analysis-patterns.md.

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