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org-search

Experimental jbcontext org-wide semantic search across multiple repositories

Datos de origen

Repositorio
JetBrains/context
Última actividad en el origen
29 de septiembre de 2026 a las 12:05
Idioma detectado de SKILL.md
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34
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4

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SKILL.md
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name
org-search
context
fork
agent
Explore
argument-hint
query
description
Experimental jbcontext org-wide semantic search across multiple repositories
Use this skill to research `$ARGUMENTS` across all available repositories, especially when the answer may live outside the current repo. ## Use cases for cross repository search - **Find reusable components, libraries, or utilities.** Before writing new code, check whether another repo already exposes a client, helper, or shared package that solves the problem. - **Locate prior art and reference implementations.** Discover how other teams have already solved a similar design problem (e.g. retry logic, feature flag wiring, pagination, caching, auth middleware) so a new implementation can follow established patterns. - **Trace cross-service API consumers and producers.** Given an endpoint, RPC, topic, or event name, find every repo that publishes or consumes it to understand blast radius before changing a contract. - **Find usages of a shared library, type, or symbol across the org.** Useful for migrations, deprecations, and breaking-change planning - answer "who imports this?" when the symbol is defined in a shared package. - **Investigate unfamiliar systems and code ownership.** When a request mentions a service, table, or feature you don't recognize, search the org to find the owning repo, its README, and entry points before asking a human. - **Audit security, compliance, or anti-pattern occurrences.** Sweep all repos for risky patterns (hardcoded secrets shapes, deprecated crypto, banned dependencies, unsafe SQL) to scope remediation work. - **Discover configuration and infrastructure examples.** Find how other services configure the same tool (CI workflows, Dockerfiles, Terraform modules, Helm charts, observability setup) to copy a known-good baseline. - **Cross-reference schemas, protos, and shared data models.** Locate the canonical definition of a type or message and every repo that depends on it. - **Reproduce or correlate bugs across services.** When a bug may stem from a shared dependency or duplicated logic, search the org for the same code path or error string. - **Onboarding and documentation lookup.** Surface relevant docs, runbooks, and examples that live outside the current repo when the local codebase doesn't fully explain a workflow. ## Workflow 1. **Find candidate repositories first.** Run the experimental repo discovery command before searching code: ```bash jbcontext repos "<repo or domain terms>" --limit 30 ``` Use short, discriminative repo terms from the request: product names, service names, team names, package names, or explicit repository names. The query matches repository names and what a repository does, so when the name is unknown describe its purpose or stack in a few words instead. 2. **Handle prefixed repository families carefully.** If the request mentions a prefix or wildcard such as `jcp-*`, treat it as a repository-family constraint. - Query the prefix literally, for example `jcp` and `jcp-`. - Keep all suitable repos whose names start with that prefix. - Do not replace a prefixed repo family with a similar unprefixed repo unless the repo results clearly show it is the right target. - Preserve the exact `repository` value returned by `jbcontext repos`; do not infer it from names. ``` jbcontext repos "jcp-" # show all repos started with jcp- prefix ``` You can omit query completely. 3. **Select suitable repos.** Prefer exact name matches, prefix-family matches, and repos whose description/path/language matches the task. If there are many candidates, search the most likely 5-10 first, then expand if results are weak. 4. **Search selected repos in parallel.** Invoke `jbcontext search` once per selected repository, passing the exact `repository` value from `jbcontext repos` via `--git-remote-url`: ```bash jbcontext search --git-remote-url "<repository>" --json-output --limit 10 "<semantic search query>" ``` Run independent repo searches in parallel when the agent environment supports parallel tool calls; otherwise keep results grouped by repository. 5. **Resolve snippets and repo information with `gh`.** When `jbcontext search` returns promising snippets, use the GitHub CLI to fetch full file context, surrounding code, default branch, repo metadata, owners, recent commits, or related PRs/issues before relying on the match. Use the GitHub owner/name or URL from `jbcontext repos` when available. ```bash gh repo view "<owner>/<repo>" --json nameWithOwner,description,defaultBranchRef,url gh api "repos/<owner>/<repo>/contents/<path>?ref=<ref>" -H "Accept: application/vnd.github.raw" ``` 6. **Synthesize across repositories.** Report which repos were searched, which repos had useful matches, and the strongest files/symbols found. If no suitable repo is found, say which repo filters were tried before stopping. ## Search Guidance - Use semantic, behavior-focused queries for `jbcontext search`; avoid one-word searches. - Re-run `jbcontext repos` with narrower or prefix-aware terms before broadening code search; if a description query returns nothing, fall back to name terms. - Use path filters only after repo-level matches identify likely directories. - Keep repository names and ids visible in notes so later searches can be reproduced. - Use `gh` to resolve snippets into full source context and to gather more information about matching repositories.
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