
Best Practice Research
- 37 installs
- 32.4k repo stars
- Updated August 4, 2026
- yeachan-heo/oh-my-codex
Helps with ai & agent building tasks during AI-assisted development.
About
best-practice-research is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.
- best-practice-research
- AI & Agent Building
- AI-coding skill
Best Practice Research by the numbers
- 37 all-time installs (skills.sh)
- +3 installs in the week ending Jul 27, 2026 (Skillselion tracking)
- Ranked #8,545 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 37 |
|---|---|
| repo stars | ★ 32.4k |
| Last updated | August 4, 2026 |
| Repository | yeachan-heo/oh-my-codex ↗ |
What it does
Helps with ai & agent building tasks during AI-assisted development.
Files
Best-Practice Research
Use this skill when a task depends on current external best practices, version-aware guidance, standards, official recommendations, or upstream behavior. This is a workflow wrapper: it routes evidence gathering and synthesis; it is not a new research authority and it does not replace researcher.
Purpose
Produce a cited, reusable best-practice answer or handoff that separates current external evidence from repo-local facts and dependency-selection decisions. For pre-planning investigation, this is the ordinary first research wrapper: gather official/upstream evidence, then hand it to $ralplan or the caller as planning input. Do not present $best-practice-research as a final architecture component or as a validator-gated research loop.
Terminal By Default
This skill is terminal and read-only by default. It gathers evidence and produces a cited recommendation with a handoff, then stops. Do not write or edit files, create or amend commits, run mutating commands, or otherwise modify repository state under this skill — even when the question has clear implementation implications. When implementation is warranted, stop and hand off rather than continuing: name $ralplan for planning and $ultragoal, $team, or executor for execution, and resume only after the user explicitly switches to that workflow.
Activate When
- The user asks for best practices, recommended approach, current guidance, official recommendations, standards, or version-aware external behavior.
$ralplan,$deep-interview,$team, or another workflow needs current external evidence before planning or execution can be correct.- The task involves an already chosen technology and needs authoritative usage guidance, migration notes, API behavior, lifecycle rules, or current safety guidance.
Do Not Activate When
- The answer is fully repo-local; use
explorefor codebase facts. - The main question is whether to adopt, replace, upgrade, or compare dependencies; use
dependency-expert. - The user only needs implementation against already-grounded requirements; use
executor,$ralph, or$teamas appropriate. - The task can be answered from stable local project conventions without current external lookup.
Specialist Routing
1. Use explore first for brownfield facts: current code usage, local constraints, versions, config, and integration points. 2. Use researcher for official/upstream docs, release notes, standards, migration guides, source-backed examples, and current best-practice evidence for an already chosen technology. 3. Use dependency-expert only for adoption/upgrade/replacement/comparison decisions. 4. Return to the caller with explicit evidence, uncertainty, and any implementation handoff constraints.
Source-Quality Rules
- Prefer official documentation, upstream source, release notes, changelogs, standards, and maintainer guidance.
- Include source URLs for material claims.
- State date/version context for current best-practice claims.
- Label third-party summaries as supplemental; do not use them before official/upstream sources.
- Flag stale, conflicting, undocumented, or version-mismatched evidence.
- Do not over-fetch: gather the smallest evidence set that can support the decision.
Workflow
1. Classify the question: conceptual best practice, implementation guidance, migration/version guidance, standards/compliance guidance, or mixed local + external guidance. 2. Gather repo-local facts with explore when local usage or constraints affect the answer. 3. Gather external evidence with researcher when current or version-aware practice affects correctness. 4. Synthesize a concise answer with source quality, version/date context, caveats, and an implementation or planning handoff. 5. Stop when the answer is grounded enough for the caller; otherwise report the exact blocker or specialist handoff needed.
Output Contract
## Best-Practice Research: <question>
### Direct Recommendation
<actionable guidance or decision support>
### Evidence Used
- Official/upstream: <source URL> — <what it establishes>
- Supplemental, if any: <source URL> — <why it is secondary>
### Version / Date Context
<versions, dates, release channels, or unknowns>
### Repo-Local Context
<facts from explore, or "not needed">
### Boundaries / Non-goals
<what this research does not decide>
### Handoff
<planning/execution/test implications; name the next workflow — `$ralplan` for planning, `$ultragoal`/`$team`/`executor` for execution — and note that this skill stops here unless the user explicitly switches workflows>Stop Rules
- Stop after a source-backed recommendation is reusable by the caller.
- Stop and route upward if the task becomes dependency comparison, broad architecture, or implementation.
- Do not continue researching when remaining work would only polish wording rather than change the recommendation.
- This skill never implements. After delivering the recommendation and handoff, stop; do not modify repo files or repo state. Resume only when the user explicitly switches to a planning or implementation workflow named in the handoff.
Task: {{ARGUMENTS}}