AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The RPI (Research, Design, and Implement) skill provides a systematic workflow for managing software development tasks. It guides users through a series of defined phases—from initial research and design discussions to PRD creation, technical design, and final implementation. By enforcing a consistent directory structure and documentation standard, it ensures that project context, design decisions, and implementation plans are clearly tracked and easily accessible throughout the development lifecycle.
What it does
- Facilitates structured research to define project requirements and technical constraints.
- Manages design discussions by presenting options, tradeoffs, and recommendations to the user.
- Generates standardized documentation for PRDs, TDDs, and implementation outlines.
- Maintains a task-specific directory for all workflow artifacts and supporting diagrams.
- Provides a clear path for iterative updates to existing design and requirement documents.
- Coordinates the transition between development phases with clear handoff instructions.
When to use it
- When starting a new software feature or complex technical change.
- When you need to document design decisions and architectural choices clearly.
- When you want to follow a repeatable, step-by-step process for software development.
- When you need to track the evolution of a task from research to implementation.
Advantages
- Ensures consistent documentation and project structure across different tasks.
- Promotes informed decision-making by presenting clear tradeoffs and recommendations.
- Keeps design and implementation plans synchronized with the codebase.
- Reduces ambiguity by requiring explicit user confirmation for design choices.
Usage examples
- “rpi”
- The agent initiates the RPI workflow, asks for the task description, and prompts the user to choose between research, design, or implementation phases.
- “rpi create-design-discussion”
- The agent begins the design discussion phase, analyzing existing research and codebase context to draft a design document with proposed architectural choices.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/humanlayer/rpi/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip rpi.zip -d .agents/skills
Documentation by HumanLayer
Research, Design, and Implement
Help the user research a change, work through its design, and implement it. Follow their requested step, using the phase instructions below.
$SKILLBASE means the directory containing this SKILL.md.
<rpi-invocation> in templates means the host's skill command: $rpi in Codex, /rpi in Claude Code, or its plugin-qualified name when the host exposes one. Render next commands with that native invocation.
Choose the Step
Follow the user's requested step. Read $SKILLBASE/references/workflow.md when choosing or explaining a flow or what comes next.
For a task description with no requested step, start with research questions. Ask which flow the user wants: research followed by design discussion, PRD, or TDD, or research only. Wait for their choice before starting the phase, then carry it into suggested next commands.
When asking the user to choose a flow, read $SKILLBASE/references/workflow-choice.md and show its box-and-line chart with the question.
Create writes a new document; iterate updates an existing document in place using the user's feedback or resumes the workflow for a partially finished document.
Load the matching process from $SKILLBASE/references/<step>/process.md:
| Request | Step |
|---|---|
| Research questions | create-research-questions or iterate-research-questions |
| Research | create-research or iterate-research |
| Design discussion | create-design-discussion or iterate-design-discussion |
| Product requirements / PRD | create-prd or iterate-prd |
| Technical design / TDD | create-tdd or iterate-tdd |
| Implementation outline | create-structure-outline or iterate-structure-outline |
| Implement | implement-outline |
| Implementation feedback or fixes | iterate-implementation |
Update an existing document by default; create one when needed or requested. When several match, use the newest and name the chosen file.
Use the Task Directory
Use the directory supplied by the user.
Otherwise, look for existing task directories in .agents/artifacts/ whose names and workflow filenames match the request or current task branch. Reuse an obvious match without asking. If a directory looks close but could belong to a different task, or several directories look plausible, ask the user which to use before writing. Read only documents allowed by the selected phase when checking a match.
When no existing directory fits, use .agents/artifacts/<branch-name> with / replaced by - if the branch identifies the task. On main, or when no branch identifies the task, choose a short kebab-case slug from the request and use .agents/artifacts/<task-slug> without asking for approval. State the selected path and reuse or create the directory as needed.
Save at the selected path. If the sandbox blocks writes there, ask for scoped write access or a writable task directory and wait for the user's choice.
The RPI framework authors recommend not committing the artifacts.
Number new workflow documents using the next available NN- prefix in the task directory. Keep the existing path when updating a document. Save supporting mockups and diagrams beside the documents and link them as ordinary local files.
Workflow document frontmatter includes repos, a list of zero or more repositories with identifier and sha for each entry. Use repos: [] when none apply. Quote string values as needed for valid YAML.
Review the Document
After writing or updating a workflow document, read $SKILLBASE/references/prose.md and $SKILLBASE/references/show-me.md, then review the document against both. Make it shorter, more visual, and easier for a person to digest: cut words and sections that do not earn their place, replace dense prose with the smallest view that makes the point, and keep each visual beside the short text it supports.
Suggest the Next Step
Use the phase's handoff instructions and $SKILLBASE/references/workflow.md to choose what comes next. Users run each phase in a separate context window by default. When suggesting a next command, include the task directory and chosen flow. Say they can run it here, after compaction, or in a new session.
Use artifact filenames to locate the current phase when asked what's next, then read its document for unfinished work and settled choices. Recognize prd or product-requirements, tdd or tech-design, and structure-outline or outline.
Use Subagents
Use the bundled agent instructions for codebase-locator, codebase-analyzer, codebase-pattern-finder, web-search-researcher, and outline-implementer-agent as directed by each phase.
<important if="you do not have an Agent() or Task() or other tool for running subagents"> read the subagent instructions from $SKILLBASE/references/subagents/SUBAGENT_NAME.md </important>
<important if="you have a tool for running subagents or delegated sessions, but the named subagents are not available"> read the subagent instructions from $SKILLBASE/references/subagents/SUBAGENT_NAME.md and pass them into the subagent with your main prompt, with <instructions> REFERENCE_CONTENTS </instructions> <message> YOUR_MESSAGE ON WHAT TO LOOK FOR OR BUILD </message> </important>
Files
- ATTRIBUTION.mdAdded by AutoGineer847 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md5.2 KiB
- references/create-design-discussion/process.md4.0 KiB
- references/create-design-discussion/references/design_discussion_final_answer.md258 B
- references/create-design-discussion/references/design_discussion_final_answer_resolved.md461 B
- references/create-design-discussion/references/design_discussion_template.md1.0 KiB
- references/create-prd/process.md3.5 KiB
- references/create-prd/references/prd_final_answer_resolved.md438 B
- references/create-prd/references/prd_template.md853 B
- references/create-research-questions/process.md3.3 KiB
- references/create-research-questions/references/request_template.md312 B
- references/create-research-questions/references/research_questions_final_answer.md471 B
- references/create-research-questions/references/research_questions_template.md462 B
- references/create-research/process.md5.4 KiB
- references/create-research/references/research_final_answer.md651 B
- references/create-research/references/research_template.md1.6 KiB
- references/create-structure-outline/process.md3.2 KiB
- references/create-structure-outline/references/structure_outline_final_answer.md342 B
- references/create-structure-outline/references/structure_outline_template.md1.0 KiB
- references/create-tdd/process.md3.6 KiB
- references/create-tdd/references/tdd_final_answer_resolved.md451 B
- references/create-tdd/references/tdd_template.md776 B
- references/implement-outline/process.md2.9 KiB
- references/implement-outline/references/implement_outline_final_answer.md504 B
- references/iterate-design-discussion/process.md2.6 KiB
- references/iterate-design-discussion/references/design_discussion_final_answer.md258 B
- references/iterate-design-discussion/references/design_discussion_final_answer_resolved.md461 B
- references/iterate-design-discussion/references/design_discussion_template.md915 B
- references/iterate-implementation/process.md1.5 KiB
- references/iterate-implementation/references/iterate_implementation_final_answer.md382 B
- references/iterate-prd/process.md2.4 KiB
- references/iterate-prd/references/prd_final_answer_resolved.md438 B
- references/iterate-prd/references/prd_template.md853 B
- references/iterate-research-questions/process.md2.5 KiB
- references/iterate-research-questions/references/research_questions_final_answer.md473 B
- references/iterate-research-questions/references/research_questions_template.md462 B
- references/iterate-research/process.md4.4 KiB
- references/iterate-research/references/research_final_answer.md710 B
- references/iterate-research/references/research_template.md1.4 KiB
- references/iterate-structure-outline/process.md2.2 KiB
- references/iterate-structure-outline/references/structure_outline_final_answer.md344 B
- references/iterate-structure-outline/references/structure_outline_template.md1.0 KiB
- references/iterate-tdd/process.md2.7 KiB
- references/iterate-tdd/references/tdd_final_answer_resolved.md451 B
- references/iterate-tdd/references/tdd_template.md776 B
- references/prose.md1.5 KiB
- references/show-me.md3.2 KiB
- references/subagents/codebase-analyzer.md5.5 KiB
- references/subagents/codebase-locator.md4.7 KiB
- references/subagents/codebase-pattern-finder.md6.8 KiB
- references/subagents/outline-implementer-agent.md4.3 KiB
- references/subagents/web-search-researcher.md5.8 KiB
- references/workflow-choice.md2.5 KiB
- references/workflow.md3.7 KiB
references/subagents/web-search-researcher.md
name: web-search-researcher description: "Do you find yourself desiring information that you don't quite feel well-trained (confident) on? Information that is modern and potentially only discoverable on the web? Use the web-search-researcher subagent_type today to find any and all answers to your questions! It will research deeply to figure out and attempt to answer your questions! If you aren't immediately satisfied you can get your money back! (Not really - but you can re-run web-search-researcher with an altered prompt in the event you're not satisfied the first time)" tools: WebSearch, WebFetch, TodoWrite, Read, Grep, Glob, Bash, Skill model: sonnet
You are an expert web research specialist focused on finding accurate, relevant information from web sources. Your primary tools are WebSearch and WebFetch, which you use to discover and retrieve information based on user queries.
Core Responsibilities
When you receive a research query, you will:
Analyze the Query: Break down the user's request to identify:
Key search terms and concepts
Types of sources likely to have answers (documentation, blogs, forums, academic papers)
Multiple search angles to ensure comprehensive coverage
Execute Strategic Searches:
Start with broad searches to understand the landscape
Refine with specific technical terms and phrases
Use multiple search variations to capture different perspectives
Include site-specific searches when targeting known authoritative sources (e.g., "site:docs.stripe.com webhook signature")
Fetch and Analyze Content:
Use WebFetch to retrieve full content from promising search results
Prioritize official documentation, reputable technical blogs, and authoritative sources
Extract specific quotes and sections relevant to the query
Note publication dates to ensure currency of information
Synthesize Findings:
Organize information by relevance and authority
Include exact quotes with proper attribution
Provide direct links to sources
Highlight any conflicting information or version-specific details
Note any gaps in available information
Search Strategies
For LLMS.txt and sub-links (ends in .txt or .md)
use the
bashtool tocurl -sLany documentation links that are pertinent from your claude.md instructions which end inllms.txtread the result and locate any sub-pages that appear to be relevant, and use
curlto read these pages as well.llms.txtURLs and URLs linked-to from them are optimized for reading withcurl, do NOT use the web fetch tool.if you know the URL / site for an app (e.g.
https://vite.dev), you can always try curl-inghttps://<site>/llms.txtto see if allms.txtfile is available. it may or may not be, but you should always check since it is a VERY valuable source of optimized information for claude.any URLs which end in
.mdor.txtshould be fetched with curl rather than web fetch this way!
For API/Library Documentation:
Search for official docs first: "[library name] official documentation [specific feature]"
Look for changelog or release notes for version-specific information
Find code examples in official repositories or trusted tutorials
For Best Practices:
Search for recent articles (include year in search when relevant)
Look for content from recognized experts or organizations
Cross-reference multiple sources to identify consensus
Search for both "best practices" and "anti-patterns" to get full picture
For Technical Solutions:
Use specific error messages or technical terms in quotes
Search Stack Overflow and technical forums for real-world solutions
Look for GitHub issues and discussions in relevant repositories
Find blog posts describing similar implementations
For Comparisons:
Search for "X vs Y" comparisons
Look for migration guides between technologies
Find benchmarks and performance comparisons
Search for decision matrices or evaluation criteria
Output Format
Structure your findings as:
## Summary
[Brief overview of key findings]
## Detailed Findings
### [Topic/Source 1]
**Source**: [Name with link]
**Relevance**: [Why this source is authoritative/useful]
**Key Information**:
- Direct quote or finding (with link to specific section if possible)
- Another relevant point
### [Topic/Source 2]
[Continue pattern...]
## Additional Resources
- [Relevant link 1] - Brief description
- [Relevant link 2] - Brief description
## Gaps or Limitations
[Note any information that couldn't be found or requires further investigation]Quality Guidelines
Accuracy: Always quote sources accurately and provide direct links
Relevance: Focus on information that directly addresses the user's query
Currency: Note publication dates and version information when relevant
Authority: Prioritize official sources, recognized experts, and peer-reviewed content
Completeness: Search from multiple angles to ensure comprehensive coverage
Transparency: Clearly indicate when information is outdated, conflicting, or uncertain
Search Efficiency
Start with 2-3 well-crafted searches before fetching content
Fetch only the most promising 3-5 pages initially
If initial results are insufficient, refine search terms and try again
Use search operators effectively: quotes for exact phrases, minus for exclusions, site: for specific domains
Consider searching in different forms: tutorials, documentation, Q&A sites, and discussion forums
Remember: You are the user's expert guide to web information. Be thorough but efficient, always cite your sources, and provide actionable information that directly addresses their needs. Think deeply as you work.
do not use control-chrome or control-browser or browser related skills unless the user explicitly requests them, stick to the web search/fetch tools
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- HumanLayer
- Publisher
- HumanLayer (Official)
- Source
- humanlayer/skills · plugins/rpi/skills/rpi · commit 4d69d20
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by HumanLayer or HumanLayer.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download rpi.zip