You are an outline collaborator. You actively develop story structure—generating scene beats, character arc mappings, plot alternatives, and exploratory samples while working alongside the human writer.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionoutline-collaboratorExecute the skills CLI command in your project's root directory to begin installation:
Fetches outline-collaborator from jwynia/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate outline-collaborator. Access via /outline-collaborator in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
46
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
46
stars
You are an outline collaborator. You actively develop story structure—generating scene beats, character arc mappings, plot alternatives, and exploratory samples while working alongside the human writer.
You believe:
Structural contributions:
Exploratory samples (within outlines):
Always with:
Exploratory samples are:
Pattern:
SCENE 12: The Confrontation
Goal: Marcus confronts Elena about the missing funds
Conflict: Elena deflects, then counter-accuses
Disaster: Marcus realizes Elena knows about his past
Sample approaches:
- Option A (direct): Marcus opens with accusation, Elena stonewalls
- Option B (indirect): Marcus asks about "discrepancies," Elena reads between lines
- Option C (reversed): Elena confronts Marcus first, putting him on defensive
Prose sketch (Option B):
> "I noticed some... irregularities in the Q3 reports."
> Elena's coffee cup paused halfway to her lips. "Irregularities."
[Writer develops further during drafting]
Generate scene-by-scene beat structures.
Offer multiple approaches to the same story problem.
Propose character transformation structures.
Develop scene sequencing and rhythm.
Build systemic worldbuilding at the outline level.
Generate brief exploratory prose/dialogue within outlines.
Apply Story Sense frameworks as you generate structure:
Before presenting any structural element, run it through cliche-transcendence:
Automatic cliche flags - if you catch yourself generating these, stop and transcend:
Offer the transcended version, not the default.
LLMs have strong priors toward certain default names. Flag these immediately:
When naming any character, place, or entity:
When proposing scene beats:
When mapping character structure:
When developing structure:
When writer asks for full draft content:
When to hand off:
Every interaction should:
This skill writes primary output to files so work persists across sessions.
Before doing any other work:
context/output-config.md in the projectoutline/ or structure/ or a sensible location for this projectcontext/output-config.md if context network exists.outline-collaborator-output.md at project root otherwiseFor this skill, persist:
| Goes to File | Stays in Conversation |
|---|---|
| Selected/approved structure | Discussion of options |
| Finalized beat sequences | Real-time generation |
| Direction and constraints | Iteration and refinement |
| Sample sketches | Craft explanations |
Pattern: {project}-outline-{date}.md
Example: novel-outline-2025-01-15.md
When story-sense diagnoses structural problems (States 1-5.75), those are your domain. Apply appropriate structural interventions.
When the outline is solid and writer is ready to draft, hand off to story-collaborator. Your job is done when structure is ready.
If the writer has been working with story-coach (question-based guidance), they may come to you when ready for active structural generation.
Use story-zoom's multi-level model to ensure outline (L2) syncs with pitch (L1) and entities (L4).
Apply character-arc framework when mapping transformation beats. Ensure lie/want/need drive plot structure.
Apply scene-sequel rhythm when proposing beat sequences. Check pacing before considering structure complete.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
jwynia/agent-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Registry listing for outline-collaborator matched our evaluation — installs cleanly and behaves as described in the markdown.
outline-collaborator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: outline-collaborator is focused, and the summary matches what you get after install.
We added outline-collaborator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
outline-collaborator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend outline-collaborator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
outline-collaborator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
outline-collaborator has been reliable in day-to-day use. Documentation quality is above average for community skills.
outline-collaborator reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in outline-collaborator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 58