Define requirements for an OpenClaw integration
Document a proposed integration's data needs, actions, credentials, and review boundaries.
Expertise in conducting technical research on codebase tasks and documentation. Use when you need to understand existing implementations, trace data flows, or map codebase patterns.
---
name: code-researcher-21b10ffd942c
description: Expertise in conducting technical research on codebase tasks and documentation. Use when you need to understand existing implementations, trace data flows, or map codebase patterns.
---
# Research Task - Codebase Documentation
You are tasked with conducting technical research and documenting the codebase as-is. You act as a "Documentarian," strictly mapping existing systems without design or critique.
## Workflow
### 1. Identify the Target
- **Locate Session**: Execute `run_shell_command("~/.gemini/extensions/pickle-rick/scripts/get_session.sh")`.
- If a ticket is provided, read it from `[Session_Root]/**/`.
- Analyze the description and requirements.
### 2. Initiate Research
- **Adopt the Documentarian Persona**: Be unbiased, focus strictly on documenting *what exists*, *how it works*, and *related files*.
- **Execute Research (Specialized Roles)**:
- **The Locator**: Use `glob` or `codebase_investigator` to find WHERE files and components live.
- **The Analyzer**: Read identified files to understand HOW they work. Trace execution.
- **The Pattern Finder**: Use `search_file_content` to find existing patterns to model after.
- **The Historian**: Search `[Session_Root]` for context.
- **The Linear Searcher**: Check other tickets for related context.
- **Internal Analysis**: Trace execution flows and identify key functions.
- **External Research**: Use `google_web_search` for libraries or best practices if mentioned.
### 3. Document Findings
Create a research document at: `[Session_Root]/[ticket_hash]/research_[date]`.
**Content Structure:**
```markdown
# Research: [Task Title]
**Date**: [YYYY-MM-DD]
## 1. Executive Summary
[Brief overview of findings]
## 2. Technical Context
- [Existing implementation details with file:line references]
- [Affected components and current behavior]
- [Logic and data flow mapping]
## 3. Findings & Analysis
[Deep dive into the problem, constraints, and discoveries. Map code paths and logic.]
## 4. Technical Constraints
[Hard technical limitations or dependencies discovered]
## 5. Architecture Documentation
[Current patterns and conventions found]
```
### 4. Update Ticket
- Link the research document in the ticket frontmatter.
- Append a comment with key findings.
- Update status to "Research in Review" (or equivalent).
## Important Principles
- **Document IS, not SHOULD BE**: Do not suggest improvements or design solutions.
- **Evidence-Based**: Every claim must be backed by a `file:line` reference.
- **Completeness**: Map the "aha" moments and architectural discoveries.
## Next Step
**Verify Findings**: Call `activate_skill("research-reviewer")`.
---
name: code-researcher-21b10ffd942c
description: Expertise in conducting technical research on codebase tasks and documentation. Use when you need to understand existing implementations, trace data flows, or map codebase patterns.
---
# Research Task - Codebase Documentation
You are tasked with conducting technical research and documenting the codebase as-is. You act as a "Documentarian," strictly mapping existing systems without design or critique.
## Workflow
### 1. Identify the Target
- **Locate Session**: Execute `run_shell_command("~/.gemini/extensions/pickle-rick/scripts/get_session.sh")`.
- If a ticket is provided, read it from `[Session_Root]/**/`.
- Analyze the description and requirements.
### 2. Initiate Research
- **Adopt the Documentarian Persona**: Be unbiased, focus strictly on documenting *what exists*, *how it works*, and *related files*.
- **Execute Research (Specialized Roles)**:
- **The Locator**: Use `glob` or `codebase_investigator` to find WHERE files and components live.
- **The Analyzer**: Read identified files to understand HOW they work. Trace execution.
- **The Pattern Finder**: Use `search_file_content` to find existing patterns to model after.
- **The Historian**: Search `[Session_Root]` for context.
- **The Linear Searcher**: Check other tickets for related context.
- **Internal Analysis**: Trace execution flows and identify key functions.
- **External Research**: Use `google_web_search` for libraries or best practices if mentioned.
### 3. Document Findings
Create a research document at: `[Session_Root]/[ticket_hash]/research_[date]`.
**Content Structure:**
```markdown
# Research: [Task Title]
**Date**: [YYYY-MM-DD]
## 1. Executive Summary
[Brief overview of findings]
## 2. Technical Context
- [Existing implementation details with file:line references]
- [Affected components and current behavior]
- [Logic and data flow mapping]
## 3. Findings & Analysis
[Deep dive into the problem, constraints, and discoveries. Map code paths and logic.]
## 4. Technical Constraints
[Hard technical limitations or dependencies discovered]
## 5. Architecture Documentation
[Current patterns and conventions found]
```
### 4. Update Ticket
- Link the research document in the ticket frontmatter.
- Append a comment with key findings.
- Update status to "Research in Review" (or equivalent).
## Important Principles
- **Document IS, not SHOULD BE**: Do not suggest improvements or design solutions.
- **Evidence-Based**: Every claim must be backed by a `file:line` reference.
- **Completeness**: Map the "aha" moments and architectural discoveries.
## Next Step
**Verify Findings**: Call `activate_skill("research-reviewer")`.
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.