prompt-author
Skill116 starsChanged 7 months agoMITView on GitHub
Interactively create custom bases, modifiers, or axis values for claude-code-modes. Guides prompt design using Anthropic emotion research findings (calm vectors, avoiding desperation triggers, positive framing). Produces markdown fragments and base.json manifests. Use when user says "create a base", "write a modifier", "new axis value", "custom prompt", or invokes /prompt-author.
1 other project uses a version of this.
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Most recently taken up by
- sysetup/skillstheir own version, first seen Nov 1, 2026
Other versions1 project uses a version of this.
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Wrote their own version · 1
- sysetup/skills★ 1same 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 repository6 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- patternsSkill
- prompt-evaluateSkill
- structural-refactorSkill
- stylistic-refactorSkill
- sync-upstreamSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
17 rules. About 0 are common, 8 are distinctive, and 9 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
9
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 9
Create custom prompt content for claude-code-modes — bases, modifiers, or axis values — grounded in Anthropic's emotion research.
- Distinctive: line 19
Read the existing prompts to understand the current patterns:
- Distinctive: line 34
Ask the user conversationally (not all at once):
- Distinctive: line 45
When would someone use it?
- Distinctive: line 62
Zero ALL-CAPS emphasis: No IMPORTANT, CRITICAL, MUST, NEVER.
- Distinctive: line 64
Activate calm vectors: Use assured, direct language.
- Distinctive: line 66
Avoid desperation triggers: No stacked contradictory requirements.
- Very specific: line 72
Include worked examples: Use <example> tags for complex behaviors.
- Very specific: line 82
Write a base.json manifest (flat JSON array with "axes" and "modifiers" reserved words)
- Distinctive: line 89
Keep under 200 words. Modifiers are behavioral nudges, not full rewrites.
- Distinctive: line 90
Use the same calm, positive framing as base content.
- Very specific: line 91
Start with a heading (# Modifier Name).
- Very specific: line 107
For a base: Create the directory, write base.json and all fragment files.
- Very specific: line 108
For a modifier: Write the .md file to prompts/modifiers/.
- Very specific: line 109
For an axis value: Write the .md file to prompts/axis/{axis}/.
- Very specific: line 112
Run bun scripts/generate-prompts.ts if the content should be embedded (built-in bases/modifiers)
- Very specific: line 114
Test with claude-mode create --base <name> --print or claude-mode create --modifier <name> --print
≈ “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
Prompt Author
Create custom prompt content for claude-code-modes — bases, modifiers, or axis values — grounded in Anthropic's emotion research.
Before starting
Read these references:
- references/emotion-research.md — emotion vector findings and principles
- references/prompt-quality.md — 10 quality criteria
- references/base-format.md — manifest and fragment specs
- references/examples.md — chill base as worked example
Read the existing prompts to understand the current patterns:
prompts/base/— standard base fragmentsprompts/chill/— chill base fragments (emotion-research-informed)prompts/modifiers/— existing modifiersprompts/axis/— existing axis values
Phase 1: Determine what to create
AskUserQuestion: What type of prompt content?
- Base — a complete foundational prompt (directory + manifest + fragments)
- Modifier — a behavioral layer that composes on top of any base/preset
- Axis value — a custom value for agency, quality, or scope
Phase 2: Interview about desired behavior
Ask the user conversationally (not all at once):
For a base:
- What's the philosophy? (e.g., minimal, domain-specific, team-flavored)
- What behaviors matter most?
- What tone? (direct, warm, formal, casual)
- How does it differ from standard and chill?
- What fragments should it have? (consolidate like chill, or granular like standard?)
For a modifier:
- What behavior does this shape? (investigation, craftsmanship, caution, speed)
- When would someone use it? (debugging, reviewing, prototyping)
- What should the agent do differently with this modifier active?
- What should it explicitly NOT do?
For an axis value:
- Which axis? (agency, quality, scope)
- What behavior does this value represent?
- How does it differ from the existing built-in values?
Phase 3: Draft the content
Apply these principles from the emotion research (see references/emotion-research.md):
Writing rules
- Positive framing first. State what to do, not what to avoid. "Keep changes scoped to the request" not "Don't add features beyond what was asked."
- Zero ALL-CAPS emphasis. No IMPORTANT, CRITICAL, MUST, NEVER. State instructions with calm confidence.
- Activate calm vectors. Use assured, direct language. "Consider the impact" not "you MUST check with the user FIRST."
- Avoid desperation triggers. No stacked contradictory requirements. No pressure language. No impossible constraints.
- Counter post-training brooding. Encourage leading with answers. Directness over qualifications.
- Preserve protective caution. Reframe as professional judgment, not anxiety. "Actions that warrant consideration" not "NEVER do this without asking."
- Include worked examples. Use
<example>tags for complex behaviors. Show good vs bad. 2-3 examples for core instructions. - Add a priority hierarchy (for bases). One line near the top: "When guidelines conflict: safety first, then user instructions, then correctness, then style."
- Security boundaries stay firm. Calm tone, but no ambiguity on injection prevention, auth testing limits, URL restrictions.
- Keep it lean. Target 40-70% the token count of the standard base. Every instruction should earn its place.
For bases specifically
- Write a
base.jsonmanifest (flat JSON array with"axes"and"modifiers"reserved words) - Decide fragment structure — consolidate like chill (fewer, bigger fragments) or granular like standard
- Include
env.mdwith all template variables (see references/base-format.md) - Actions fragment should be behaviorally neutral — the agency axis handles the autonomous-vs-cautious split
For modifiers specifically
- Keep under 200 words. Modifiers are behavioral nudges, not full rewrites.
- Use the same calm, positive framing as base content.
- Start with a heading (
# Modifier Name). - Focus on one behavioral dimension — don't try to cover everything.
Phase 4: Review with user
Present the drafted content and ask for feedback. Highlight:
- Token count compared to standard/chill equivalents
- Number of negative instructions (target: < 5)
- Number of ALL-CAPS markers (target: 0)
- Number of worked examples
- Whether security boundaries are preserved
Iterate until the user approves.
Phase 5: Write files
For a base: Create the directory, write base.json and all fragment files.
For a modifier: Write the .md file to prompts/modifiers/.
For an axis value: Write the .md file to prompts/axis/{axis}/.
Remind the user to:
- Run
bun scripts/generate-prompts.tsif the content should be embedded (built-in bases/modifiers) - Register custom content in
.claude-mode.jsonif it's project-specific - Test with
claude-mode create --base <name> --printorclaude-mode create --modifier <name> --print
Quality checklist
Before finalizing, verify:
- Negative instruction count < 5 per 1000 characters
- Zero ALL-CAPS emphasis markers
- Security boundaries present and unambiguous
- At least 2 worked examples (for bases)
- Priority hierarchy present (for bases)
- All template variables present in env.md (for bases)
- Manifest has both
"axes"and"modifiers"entries (for bases) - Content is shorter than the standard base equivalent
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