Create user stories with duplicate checking across any project tracker (Linear, GitHub Issues, Jira)
Scanned 5/27/2026
Install via CLI
openskills install huytieu/COG-second-brain---
name: create-user-story
description: Create user stories with duplicate checking across any project tracker (Linear, GitHub Issues, Jira)
roles: [product-manager, engineering-lead, founder]
integrations: [linear, github, jira]
---
# COG Create User Story Skill
## When to Invoke
- User wants to create a new user story, feature request, or issue
- User says "create story", "new story", "add issue", "write user story", "create ticket"
- User describes a feature or requirement that should be tracked
## Agent Mode Awareness
**Check `agent_mode` in `00-inbox/MY-PROFILE.md` frontmatter:**
- If `agent_mode: team` — use parallel agents to check for duplicates across all active trackers simultaneously, then create the story
- If `agent_mode: solo` — check duplicates and create the story sequentially in the main conversation
## Command: `/create-user-story`
## Pre-Flight Check
1. **Read `00-inbox/MY-INTEGRATIONS.md`** to determine which project trackers are active:
- **Linear** — use Linear MCP tools
- **GitHub** — use `gh` CLI
- **Jira** — use `jira` CLI or Jira API via WebFetch
- If NO tracker is active, save the story as a markdown file in `04-projects/[project]/stories/` and inform the user
2. **Read `00-inbox/MY-PROFILE.md`** to get:
- Active projects (to determine which project/repo/board to target)
- User's name (for story author attribution)
3. **Ask the user** (if not already provided):
- What is the feature or requirement? (free-form description)
- Which project does this belong to? (if multiple active projects)
- Priority level? (optional — default to medium)
---
## Execution Strategy
### Phase 1: Understand the Request
Parse the user's input to extract:
- **Feature description** — what the user wants built
- **Target users** — who benefits from this
- **Problem statement** — what problem this solves
- **Project context** — which project this belongs to
If the user provides a brief description, ask clarifying questions before proceeding:
- Who is the target user for this feature?
- What problem does this solve?
- Are there any specific acceptance criteria you have in mind?
### Phase 2: Duplicate Check
**CRITICAL: Always check for duplicates before creating.**
#### Team Mode (parallel agents)
Launch duplicate-check agents in parallel using the Task tool with `run_in_background: true`:
**Agent: "duplicate-checker-linear"** (if Linear is active)
```
Search Linear for potential duplicate issues.
1. Use ToolSearch to load Linear tools
2. Use mcp__claude_ai_Linear_2__list_issues to search for issues with similar keywords
3. Search across all active projects/teams
4. Return any issues that match by title similarity or description overlap
Search terms: [extracted keywords from user's description]
Return: list of potential duplicates with title, status, URL, and similarity assessment
```
**Agent: "duplicate-checker-github"** (if GitHub is active)
```
Search GitHub Issues for potential duplicates.
Repository: [CUSTOMIZE: your-org/your-repo]
1. gh search issues "[keywords]" --repo [CUSTOMIZE: your-org/your-repo] --json number,title,state,url,body --limit 20
2. Also search closed issues to check if this was already done:
gh search issues "[keywords]" --repo [CUSTOMIZE: your-org/your-repo] --state closed --json number,title,state,url --limit 10
Return: list of potential duplicates with title, status, URL, and similarity assessment
```
**Agent: "duplicate-checker-jira"** (if Jira is active)
```
Search Jira for potential duplicate issues.
Project: [CUSTOMIZE: YOUR-PROJECT-KEY]
1. Use WebFetch or jira CLI to search:
JQL: project = "[CUSTOMIZE: YOUR-PROJECT-KEY]" AND text ~ "[keywords]" ORDER BY created DESC
2. Check both open and recently resolved issues
Return: list of potential duplicates with key, title, status, URL, and similarity assessment
```
#### Solo Mode (sequential)
Run the same duplicate checks sequentially for whichever tracker is active.
### Phase 3: Report Duplicates (if found)
If potential duplicates are found, present them to the user:
```
I found [N] potential duplicate(s):
1. **[TITLE]** ([STATUS]) — [URL]
Similarity: [High/Medium/Low] — [reason]
2. **[TITLE]** ([STATUS]) — [URL]
Similarity: [High/Medium/Low] — [reason]
Options:
a) These are different — proceed with creating the new story
b) This is a duplicate of #[N] — skip creation
c) This is related to #[N] — create and link them
```
**Wait for user confirmation before proceeding.**
### Phase 4: Format the User Story
Generate the story in standard user story format:
```markdown
## Title
[Concise, descriptive title]
## User Story
**As a** [type of user],
**I want** [goal/desire],
**So that** [benefit/value].
## Description
[Expanded description of the feature, including context and background]
## Acceptance Criteria
### Scenario 1: [Happy path scenario name]
- **Given** [precondition]
- **When** [action]
- **Then** [expected outcome]
### Scenario 2: [Alternative scenario name]
- **Given** [precondition]
- **When** [action]
- **Then** [expected outcome]
### Scenario 3: [Edge case or error scenario name]
- **Given** [precondition]
- **When** [action]
- **Then** [expected outcome]
## Technical Notes
[Any implementation hints, constraints, or dependencies — if applicable]
## Out of Scope
[What this story explicitly does NOT cover — helps prevent scope creep]
```
**Present the formatted story to the user for review before creating it.**
### Phase 5: Create in Tracker
After user approves the story content:
#### Linear
```
1. Use ToolSearch to load Linear tools
2. Use mcp__claude_ai_Linear_2__get_team to find the target team
3. Use mcp__claude_ai_Linear_2__list_issue_labels to find appropriate labels
4. Use mcp__claude_ai_Linear_2__save_issue to create the issue with:
- title: [story title]
- description: [full story in markdown]
- team: [target team]
- priority: [user-specified or default medium]
- labels: [appropriate labels]
```
#### GitHub Issues
```
gh issue create \
--repo [CUSTOMIZE: your-org/your-repo] \
--title "[story title]" \
--body "[full story in markdown]" \
--label "[appropriate labels]"
```
#### Jira
```
Use WebFetch to POST to Jira REST API or use jira CLI:
- Project: [CUSTOMIZE: YOUR-PROJECT-KEY]
- Issue Type: Story
- Summary: [story title]
- Description: [full story in markdown/Jira wiki format]
- Priority: [user-specified or default Medium]
- Labels: [appropriate labels]
```
#### Vault Fallback (no tracker active)
Save to `04-projects/[project]/stories/story-YYYY-MM-DD-[slug].md`
### Phase 6: Confirm and Link
1. Confirm creation with the user:
```
Story created: **[TITLE]**
[URL or file path]
Priority: [priority]
Labels: [labels]
```
2. If the user indicated this is related to another issue (Phase 3, option c), create a link/relation between them.
3. Also save a local copy to `04-projects/[project]/stories/` for vault reference.
---
## Fallback Behavior
| Scenario | Behavior |
|----------|----------|
| No tracker active | Save as markdown in `04-projects/[project]/stories/` |
| Tracker API fails | Save locally, warn user, suggest manual creation with the formatted content |
| Duplicate check fails | Warn user that duplicate check was skipped, proceed with creation after confirmation |
| User doesn't specify project | List active projects from MY-PROFILE.md and ask which one |
| User provides minimal input | Ask clarifying questions to build a complete story |
## Error Handling
- **API rate limits**: Wait and retry once, then fall back to local save
- **Authentication failures**: Inform user their integration may need re-authentication
- **Large search results**: Limit duplicate check to top 10 most relevant matches
- **Context overflow**: Summarize duplicate results rather than showing full descriptions
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