Structured peer-review of academic papers.
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Create, edit, and evaluate agent skills iteratively.
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See how to installReview the instructions the agent will receive before you install.
A skill for creating new skills and iteratively improving them.
At a high level, the process of creating a skill goes like this:
SKILL.md with YAML frontmatter + Markdown body)Your job when using this skill is to figure out where the user is in this process and then jump in and help them progress through these stages.
A Poirot skill lives in a directory containing SKILL.md:
skills/<category>/<skill-name>/SKILL.md # user skills
poirot/backend/agents/skill/builtin_skills/<category>/<skill-name>/SKILL.md # builtin
Frontmatter fields:
---
name: <skill-name> # unique, lowercase-hyphenated
description: <≤60 char one sentence ending with a period>
allowed-tools: # Poirot tools this skill may invoke
- web_search
- browse_page
- bash
- read_file
- write_file
- list_dir
- str_replace
- present_files
- read_snapshot
enabled: true
related-skills: [<other-skill-name>] # optional cross-references
license: MIT # recommended for contributed skills
author: <human contributor or source attribution>
---
Body: # <Skill> title, 2-3 sentence intro, ## When to Use,
## How to Run, ## Procedure, ## Pitfalls, ## Verification.
description ≤ 60 characters, one sentence, ends with a period. State
the capability, not the implementation. No marketing words.grep → bash, cat/head/tail →
read_file, sed/awk → str_replace, find/ls → list_dir.scripts/, references in references/, templates in
templates/ inside the skill directory. Don't expect the model to
inline-write non-trivial logic every call — ship a helper script.SKILL.md/skill install <path> (or place under skills/)/skill list should show it activedescription for better triggering, body for clarity## When to Use section → model triggers skill on wrong tasksNo reviews yet. Tell others what you thought.
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Structured peer-review of academic papers.
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Dark-themed SVG architecture/cloud/infra diagrams as HTML.
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Search arXiv papers by keyword, author, category, or ID.
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Monitor blogs and RSS/Atom feeds via blogwatcher-cli.
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Onboarding conversation to generate a user profile.
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Generate charts: select type, extract data, render image.
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