Act as an active outline partner who develops structure collaboratively. Use when developing, iterating, or improving story outlines. Generates scene beats, character arcs, plot structures, and exploratory prose samples. Contrasts with story-collaborator which drafts finished prose.
npx skills add https://github.com/jwynia/agent-skills --skill outline-collaborator
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.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementing any feature or bugfix, before writing implementation code
Use when you have a spec or requirements for a multi-step task, before touching code
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.
| Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Official Opentrons Protocol API for OT-2 and Flex robots. Use when writing protocols specifically for Opentrons hardware with full access to Protocol API v2 features. Best for production Opentrons protocols, official API compatibility. For multi-vendor automation or broader equipment control use pylabrobot.
Take jwynia/outline-collaborator from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.