literary-agent-panel
Skill2 starsChanged 5 months agoMITView on GitHub
Use when a manuscript, book concept, opening pages, synopsis, query package, or Book Genesis project needs simulated literary agent, acquiring editor, bookseller, and target-reader review for market viability and publication readiness.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- felipelobomotta-blip/book-genesis-studiotheir own version, first seen Oct 26, 2026
- felipelobomotta-blip/book-genesis-v4their own version, first seen Oct 26, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- felipelobomotta-blip/book-genesis-studio★ 159same name
- felipelobomotta-blip/book-genesis-v4★ 159same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository27 other files it gives its agents.
- AGENTS.mdAGENTS.md
- beta-readerSkill
- book-bestseller-studioSkill
- book-editorSkill
- book-genesis-coreSkill
- book-genesis-fullSkill
- book-genesisSkill
- book-researcherSkill
- book-swarm-panelSkill
- copy-editingSkill
- chaos-engineSkill
- dialogue-polishSkill
- hook-craftSkill
- mechanical-preprocessSkill
- quality-gateSkill
- editorial-packageSkill
- humanizer-proSkill
- manuscript-managerSkill
- narrative-foundationSkill
- book-autoSkill
- continuity-guardianSkill
- entity-trackerSkill
- reader-personaSkill
- voice-fingerprintSkill
- production-prepSkill
- prose-craftSkill
- series-architectSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 6 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
Run 4 voices, with separate verdicts:
- Distinctive: line 30
Read only available materials:
- Distinctive: line 39
If a required market artifact is missing, flag it as a blocker instead of inventing confidence.
- Distinctive: line 43
Use one verdict per panel role:
- Very specific: line 68
Write to evaluations/agent-panel.md when inside a project.
- Distinctive: line 118
Use current-market logic. If comp titles are old, flag.
- Distinctive: line 119
Never promise bestseller status.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Literary Agent Panel
This skill stress-tests a book from the market side. It does not write chapters. It decides whether a real agent, editor, bookseller, or target reader would keep reading, ask for pages, buy, recommend, or reject.
Use after:
- book idea/concept exists
- market research exists or is being questioned
- first 10 pages need commercial review
- full draft needs submission readiness review
- editorial package needs agent/editor feedback
- Book Genesis reaches audit, final score, or delivery
Panel Roles
Run 4 voices, with separate verdicts:
- Literary Agent: query hook, category clarity, comp fit, sellability, submission risk.
- Acquiring Editor: manuscript strength, list fit, editorial labor, positioning.
- Bookseller/Category Buyer: shelf fit, cover/copy expectations, reader promise.
- Target Reader: opening pull, emotional promise, readability, recommendability.
Review Inputs
Read only available materials:
PROJECT_STATE.yamlresearch/market-research.mdfoundation/positioning.md- opening pages or chapter files
- synopsis/query/cover copy
evaluations/genesis-score.md
If a required market artifact is missing, flag it as a blocker instead of inventing confidence.
Verdict Scale
Use one verdict per panel role:
PASS: would continue, request, acquire, stock, or recommend.FLAG: viable but needs specific fixes.BLOCK: would reject or abandon for commercial/product reasons.
Overall verdict is the weakest role verdict. One BLOCK means not market-ready.
Evaluation Criteria
Score 1-10 with short evidence:
- Category clarity
- Reader promise
- Opening-page pull
- Voice distinctiveness
- Comp-title fit
- Commercial pacing
- Emotional stakes
- Shelf/thumbnail fit
- Submission package strength
- Launch/platform leverage
Output Format
Write to evaluations/agent-panel.md when inside a project.
# Literary Agent Panel
## Overall Verdict
[PASS/FLAG/BLOCK] - [one sentence why]
## Panel Verdicts
| Role | Verdict | Reason |
|---|---|---|
| Literary Agent | ... | ... |
| Acquiring Editor | ... | ... |
| Bookseller/Buyer | ... | ... |
| Target Reader | ... | ... |
## Scores
| Criterion | Score | Evidence |
|---|---:|---|
| Category clarity | ... | ... |
| Reader promise | ... | ... |
| Opening-page pull | ... | ... |
| Voice distinctiveness | ... | ... |
| Comp-title fit | ... | ... |
| Commercial pacing | ... | ... |
| Emotional stakes | ... | ... |
| Shelf/thumbnail fit | ... | ... |
| Submission package strength | ... | ... |
| Launch/platform leverage | ... | ... |
## Top Rejection Risks
1. ...
2. ...
3. ...
## Fix Before Submission
1. ...
2. ...
3. ...
## Best Market Angle
[Specific positioning angle]
## Query/Package Notes
[What to change in logline, synopsis, comps, cover brief, or author bio]Rules
- Be candid. Do not flatter weak work.
- Use current-market logic. If comp titles are old, flag.
- Never promise bestseller status.
- Separate taste objections from commercial blockers.
- For Portuguese projects, evaluate Brazilian/Portuguese-language market fit unless user asks global/US.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

