Install
$ agentstack add skill-daeryundf2-prog-lazyantigravity-voice-and-tone ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Voice and Tone
Voice is who you are. Tone is how you say it right now. Voice stays constant. Tone adapts to context. This skill defines both so every word sounds like the same person wrote it.
When to Use
- At the start of a project, during or after
design-strategy - When the content-writer agent needs voice guardrails
- When interface copy sounds inconsistent across screens
Step 1: Define Voice Attributes
Choose 3-5. For each, define "this, not that":
| Attribute | This | Not that | |-----------|------|----------| | Warm | Friendly, approachable | Sycophantic, emoji-heavy | | Knowledgeable | Confident, precise | Academic, condescending | | Direct | Clear, action-oriented | Blunt, cold, robotic | | Encouraging | Celebrates effort | Patronising, fake-cheerful |
The "not that" column prevents drift.
Step 2: Define Tone by Context
| Context | Feel | Example | |---------|------|---------| | Success | Celebration, warmth | "Your monstera is happy. Next water Thursday." | | Error | Calm, helpful, no blame | "We couldn't save that. Check your connection and try again." | | Onboarding | Welcoming, confidence-building | "Let's get to know your plants. About 30 seconds." | | Empty state | Inviting, action-oriented | "Your windowsill is empty. Add your first plant." | | Loading | Reassuring, brief | "Checking your plants..." | | Destructive | Clear, calm, reversible | "Remove this plant? You can undo this." |
Step 3: Build the Vocabulary
| Always use | Never use | |-----------|----------| | water | irrigate | | happy | optimal | | check it out | investigate | | you | the user |
The content-writer agent uses this as a constraint.
Step 4: Set Reading Level
| Audience | Target | |----------|--------| | General consumer | Grade 6-8 | | Professional tool | Grade 8-10 | | Technical docs | Grade 10-12 |
Voice Audit Checklist
- [ ] Every screen sounds like the same person wrote it
- [ ] Voice attributes are present in the copy
- [ ] Tone matches the context
- [ ] Vocabulary list words used consistently
- [ ] Reading level at or below target
- [ ] Copy works read aloud by a screen reader
What You Deliver
- Voice attributes table (3-5, with "this not that")
- Tone guide by context with examples
- Vocabulary list
- Reading level target
- 3-5 before/after examples
Integration
- Informed by:
design-strategy,design-discovery - Feeds into:
content-writeragent,accessible-content,design-critic
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: daeryundf2-prog
- Source: daeryundf2-prog/LAZYANTIGRAVITY
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.