ai-explore
From the author
Answers questions about this repository by reading it, anchored to file:line, and tours an unfamiliar area for somebody who has just arrived. Trigger for "where does X live", "how does this work", "why does it do that", "what depends on Y", "walk me through", "map this module", "trace this import chain", "onboard me". Not for evidence from outside this repository — use /ai-research. Not for diagnosing a failure — use /ai-debug. Not for judging a diff — use /ai-verify.
Install
npx skills add arcasilesgroup/ai-engineering --skill ai-explore -a claude-code
Installs to .claude/skills/ai-explore/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
Want your agent to suggest skills while you type? See how to use skills from your IDE.
Safety checks on SKILL.md
No warnings.
Why 82
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- ai-researcharcasilesgroup/ai-engineeringFinds evidence from outside this repository and reports it with numbered citations, or marks a claim [unsourced] and leaves it marked. Uses only the tools the client actually has: the local floor is always on, web search / Tavily / Exa run only when the client configured them, and NotebookLM deep research runs only when `notebooklm doctor` passes — an absent tool degrades and is named, never an error. Ends with three cited directions worth taking. Trigger for "what does the state of the art say", "compare the options for", "find sources on", "is this still true", "what do the docs say about". Not for questions whose answer is in this repository — use /ai-explore. Not for diagnosing a failure — use /ai-debug. Not for deciding what to build — use /ai-orchestrator.Science★ 62
- ai-debugarcasilesgroup/ai-engineeringFinds the root cause of broken behaviour and names it at file:line, then writes the check that fails for that reason before changing anything. Also resolves merge and rebase conflicts by intent rather than by taking a side. Trigger for "it's not working", "this used to work", "I'm getting an error", "CI is failing", "why is X happening", "I have conflicts", "the rebase failed". Not for adding test coverage to working code — use /ai-verify. Not for exploring an unfamiliar area — use /ai-explore. Not for designing the fix — once the cause is named, use /ai-orchestrator. Not for reporting the fault to outsiders — use /ai-issue-report.Engineering★ 62
- onboardOutlineDriven/outline-driven-developmentUse when the user asks for onboarding, orientation, a repository tour, or where to start. Produces an evidence-backed seven-section map, deep-reads real files, and asks for the next move.Other★ 55
- ai-read-docsarcasilesgroup/ai-engineeringUse when the work depends on versioned or external behaviour — adding a package, writing setup or config, integrating an SDK or a paid API, debugging a framework change — or on anything involving third-party APIs, libraries, frameworks, CLIs, cloud services, model/provider SDKs, fast-moving product behavior, user requests for latest/current/official behavior, unfamiliar repo docs/specs, errors that may indicate API drift, or high-stakes auth, security, billing, data, migration, deployment, compliance, or privacy behavior. Forces a docs pass (web-search of official sources) and reading primary docs before assuming from memory. Not for evidence from outside this repository generally — use /ai-research; not for questions the repository answers — use /ai-explore.Security★ 62
- literature-researchfcakyon/phd-skillsUse when the user wants to find related work, survey a research area, identify literature gaps, or discover open-source implementations. Triggers on phrases like "find papers on", "related work", "literature review", "what papers exist", "open source implementation", or "papers with code".Science★ 436
- researchOyadotAI/oya-browserThis skill should be used when researching a technical question, checking current API facts, comparing documented capabilities, or gathering primary-source evidence for a decision.Science★ 348
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in