
Guideline Generation
- 2.2k installs
- 23.1k repo stars
- Updated July 28, 2026
- anthropics/knowledge-work-plugins
guideline-generation is an agent skill that >.
About
Generate comprehensive LLM ready brand voice guidelines from any combination of sources brand documents sales call transcripts discovery reports or direct user input Transform raw materials into structured enforceable guidelines with confidence scoring and open questions Accept any combination of Discovery report from the discover brand skill structured pre triaged Brand documents uploaded or from connected platforms PDF PPTX DOCX MD TXT Conversation transcripts from Gong Granola manual uploads or Notion meeting notes Direct user input about their brand voice and values When a discovery report is provided use it as the primary input sources are already triaged and ranked Supplement with additional analysis as needed Determine what the user has provided If no sources are available Check if a discovery report exists from a previous brand voice discover brand run Check claude brand voice local md for known brand material locations Suggest running discovery first brand voice discover brand For documents Delegate to the document analysis agent for heavy parsing Extract voice attributes messaging themes terminology tone guidance and
- This skill generates, creates, or builds brand voice guidelines from source
- materials. It should be used when the user asks to "generate brand guidelines",
- "create a style guide", "extract brand voice", "create guidelines from calls",
- Follow guideline-generation SKILL.md steps and documented constraints.
- Follow guideline-generation SKILL.md steps and documented constraints.
Guideline Generation by the numbers
- 2,203 all-time installs (skills.sh)
- +92 installs in the week ending Jul 28, 2026 (Skillselion tracking)
- Ranked #442 of 16,659 AI & Agent Building skills by installs in the Skillselion catalog
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
guideline-generation capabilities & compatibility
- Capabilities
- this skill generates, creates, or builds brand v · materials. it should be used when the user asks · "create a style guide", "extract brand voice", " · follow guideline generation skill.md steps and d
- Use cases
- orchestration
What guideline-generation says it does
This skill generates, creates, or builds brand voice guidelines from source
materials. It should be used when the user asks to "generate brand guidelines",
"create a style guide", "extract brand voice", "create guidelines from calls",
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill guideline-generationAdd your badge
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| Installs | 2.2k |
|---|---|
| repo stars | ★ 23.1k |
| Security audit | 3 / 3 scanners passed |
| Last updated | July 28, 2026 |
| Repository | anthropics/knowledge-work-plugins ↗ |
When should an agent use guideline-generation and what problem does it solve?
>
Who is it for?
Developers invoking guideline-generation as documented in the skill source.
Skip if: Skip when requirements fall outside guideline-generation documented scope.
When should I use this skill?
>
What you get
Outputs aligned with the guideline-generation SKILL.md workflow and stated deliverables.
- Confidence-scored guidelines document
By the numbers
- High Confidence requires at least 3 corroborating sources
- High Confidence criteria checklist has 5 evaluation dimensions
Files
Guideline Generation
Generate comprehensive, LLM-ready brand voice guidelines from any combination of sources — brand documents, sales call transcripts, discovery reports, or direct user input. Transform raw materials into structured, enforceable guidelines with confidence scoring and open questions.
Inputs
Accept any combination of:
- Discovery report from the discover-brand skill (structured, pre-triaged)
- Brand documents uploaded or from connected platforms (PDF, PPTX, DOCX, MD, TXT)
- Conversation transcripts from Gong, Granola, manual uploads, or Notion meeting notes
- Direct user input about their brand voice and values
When a discovery report is provided, use it as the primary input — sources are already triaged and ranked. Supplement with additional analysis as needed.
Generation Workflow
1. Identify and Classify Sources
Determine what the user has provided. If no sources are available:
- Check if a discovery report exists from a previous
/brand-voice:discover-brandrun - Check
.claude/brand-voice.local.mdfor known brand material locations - Suggest running discovery first:
/brand-voice:discover-brand
2. Process Sources
For documents: Delegate to the document-analysis agent for heavy parsing. Extract voice attributes, messaging themes, terminology, tone guidance, and examples.
For transcripts: Delegate to the conversation-analysis agent for pattern recognition. Extract implicit voice attributes, successful language patterns, tone by context, and anti-patterns.
For discovery reports: Extract pre-triaged sources, conflicts, and gaps. Use the ranked sources directly.
3. Synthesize Into Guidelines
Merge all findings into a unified guideline document following the template in references/guideline-template.md. Key sections:
"We Are / We Are Not" Table — The core brand identity anchor:
| We Are | We Are Not |
|---|---|
| [Attribute — e.g., "Confident"] | [Counter — e.g., "Arrogant"] |
| [Attribute — e.g., "Approachable"] | [Counter — e.g., "Casual or sloppy"] |
Derive attributes from the most consistent patterns across sources. Each row should have supporting evidence.
Voice Constants vs. Tone Flexes — Clarify what stays fixed and what adapts:
- Voice = personality, values, "We Are / We Are Not" — constant across all content
- Tone = formality, energy, technical depth — flexes by context
Tone-by-Context Matrix:
| Context | Formality | Energy | Technical Depth | Example |
|---|---|---|---|---|
| Cold outreach | Medium | High | Low | "[example phrase]" |
| Enterprise proposal | High | Medium | High | "[example phrase]" |
| Social media | Low | High | Low | "[example phrase]" |
4. Assign Confidence Scores
Score each section using the methodology in references/confidence-scoring.md:
- High confidence: 3+ corroborating sources, explicit guidance found
- Medium confidence: 1-2 sources, or inferred from patterns
- Low confidence: Single source, inferred, or conflicting data
5. Surface Open Questions
Generate open questions for any ambiguity that cannot be resolved:
## Open Questions for Team Discussion
### High Priority (blocks guideline completion)
1. **[Question Title]**
- What was found: [conflicting or incomplete info]
- Agent recommendation: [suggested resolution with reasoning]
- Need from you: [specific decision or confirmation needed]Every open question MUST include an agent recommendation. Turn ambiguity into "confirm or override" — never a dead end.
6. Quality Check
Before presenting, verify via the quality-assurance agent (defined in agents/quality-assurance.md):
- All major sections populated (including Brand Personality and Content Examples if sources support them)
- At least 3 voice attributes with evidence
- "We Are / We Are Not" table has 4+ rows
- Tone matrix covers at least 3 contexts
- Confidence scores assigned per section
- Source attribution for all extracted elements
- No PII exposed
- Open questions include recommendations
7. Present and Offer Next Steps
Summarize key findings:
- Total sections generated with confidence breakdown
- Strongest voice attribute and most effective message
- Number of open questions (if any)
8. Save for Future Sessions
The default save location is .claude/brand-voice-guidelines.md inside the user's working folder.
Important: The agent's working directory may not be the user's project root (especially in Cowork, where plugins run from a plugin cache directory). Always resolve the path relative to the user's working folder, not the current working directory. If no working folder is set, skip the file save and tell the user guidelines will only be available in this conversation.
1. Resolve the save path. The file MUST be saved to .claude/brand-voice-guidelines.md inside the user's working folder. Confirm the working folder path before writing. 2. Check if guidelines already exist at that path 3. If they exist, archive the previous version: Rename the existing file to brand-voice-guidelines-YYYY-MM-DD.md in the same directory (using today's date) 4. Save new guidelines to .claude/brand-voice-guidelines.md inside the working folder 5. Confirm to the user with the full absolute path: "Guidelines saved to <full-path>. /brand-voice:enforce-voice will find them automatically in future sessions."
The guidelines are also present in this conversation, so /brand-voice:enforce-voice can use them immediately without loading from file.
After saving, offer: 1. Walk through the guidelines section by section 2. Start creating content with /brand-voice:enforce-voice 3. Resolve open questions
Privacy and Security
Enforce these privacy constraints throughout the entire generation workflow, not only at output time:
- Redact customer names and contact information from all examples
- Anonymize company names in transcript excerpts if requested
- Flag any sensitive information detected during processing
Reference Files
- `references/guideline-template.md` — Complete output template with all sections, field definitions, and formatting guidance
- `references/confidence-scoring.md` — Confidence scoring methodology, thresholds, and examples
Confidence Scoring Methodology
How to assign and interpret confidence scores for generated brand guidelines.
Scoring Levels
High Confidence
The guideline section is well-supported and actionable.
Criteria (must meet at least 3):
- 3+ corroborating sources
- Explicit guidance found in at least one AUTHORITATIVE source
- Consistent across document and conversation analysis
- Specific, actionable instructions (not just vague principles)
- No unresolved conflicts
Example: Voice attribute "Confident but not arrogant" appears in the official style guide, is demonstrated in email templates, and matches patterns in top performer calls.
Medium Confidence
The section is reasonable but could benefit from more data or team confirmation.
Criteria (must meet at least 2):
- 1-2 corroborating sources
- Inferred from patterns rather than explicit instruction
- Minor inconsistencies resolved via recency or authority
- Actionable but some interpretation was required
- May have one unresolved conflict
Example: Tone for social media inferred from email templates and one Slack thread, but no official social media guidelines exist.
Low Confidence
The section is a best-effort recommendation. Team review strongly recommended.
Criteria (must meet at least 2):
- Single source only
- Primarily inferred from indirect evidence
- Significant interpretation required
- Unresolved conflicts between sources
- Limited specificity
Example: Competitive positioning derived from a single sales call where a competitor was discussed, with no supporting documentation.
Section-Level Scoring Guide
Voice Attributes
- High: Attributes appear in official brand guide AND are demonstrated in templates or calls
- Medium: Attributes appear in one document type only, or are inferred from multiple conversations
- Low: Attributes inferred from a single source or from indirect evidence
Messaging Framework
- High: Value propositions documented in official materials AND used consistently in sales conversations
- Medium: Documented but not observed in practice, OR observed but not documented
- Low: Extracted from a single pitch deck or single call
Tone Matrix
- High: Explicit tone guidance exists for the context AND matches observed behavior
- Medium: Tone inferred from 3+ examples of content in that context
- Low: Tone inferred from 1-2 examples, or extrapolated from similar contexts
Terminology
- High: Terms explicitly listed in a style guide or glossary
- Medium: Terms consistently used in templates and calls (pattern-based)
- Low: Terms observed in a single document or inferred from brand personality
Language Patterns (from transcripts)
- High: Pattern observed in 5+ calls across multiple speakers
- Medium: Pattern observed in 3-4 calls or from a single top performer
- Low: Pattern observed in 1-2 calls only
Transcript-Primary Scenarios
When guidelines are generated primarily from conversational sources (no AUTHORITATIVE documents available):
- Voice Attributes derived from 5+ transcripts = Medium (not Low)
- Messaging Framework from consistent patterns across 5+ calls = Medium
- Language Patterns weight increases from 10% to 20% in aggregate calculation (subtract 10% from Voice Attributes)
Note this in the guideline metadata: "Guidelines generated primarily from conversational sources — team review recommended to formalize."
Aggregate Confidence
Calculate overall guideline confidence as the weighted average of section scores:
| Section | Weight |
|---|---|
| Voice Attributes | 30% |
| Messaging Framework | 25% |
| Tone Matrix | 20% |
| Terminology | 15% |
| Language Patterns | 10% |
Convert scores: High = 1.0, Medium = 0.6, Low = 0.3
Example:
- Voice Attributes: High (1.0 x 0.30 = 0.30)
- Messaging: Medium (0.6 x 0.25 = 0.15)
- Tone: Medium (0.6 x 0.20 = 0.12)
- Terminology: High (1.0 x 0.15 = 0.15)
- Language: Low (0.3 x 0.10 = 0.03)
- Overall: 0.75 = Medium-High confidence
Aggregate score thresholds:
- 0.85–1.0 = High
- 0.60–0.84 = Medium
- Below 0.60 = Low
Presentation
Present confidence alongside each section header:
## Voice Attributes (Confidence: High)
[content]
## Tone Matrix (Confidence: Medium)
[content — note: no official social media guidelines found, tone inferred from email patterns]For Medium and Low confidence sections, include a brief note explaining why confidence is limited and what would raise it.
Relationship to Open Questions
Low confidence sections should generate corresponding open questions:
- Low confidence + conflict = High Priority open question
- Low confidence + gap = Medium Priority open question
- Medium confidence + minor inconsistency = Low Priority open question
Every open question includes a recommendation that, if confirmed, would raise the section's confidence score.
Brand Guidelines Output Template
The complete structure for generated brand voice guidelines. Fill each section based on discovered and analyzed sources. The following is a raw markdown template — copy and fill the sections below. Omit sections with no data rather than including empty placeholders.
[Company Name] Brand Voice Guidelines
Generation Metadata
- Created: [date]
- Version: [N] (incremented from previous if updating)
- Replaces: [previous version date, if applicable]
- Sources: [list of documents and/or conversations analyzed]
- Documents processed: [N]
- Conversations analyzed: [N]
- Discovery report used: [Yes/No]
- Overall confidence: [High/Medium/Low]
---
Executive Summary
[2-3 paragraph overview of the brand voice. What makes this brand distinctive? What is the core personality? How should content feel to the reader?]
---
We Are / We Are Not
The foundational brand identity anchor. Voice is constant — it doesn't change by channel or audience.
| We Are | We Are Not |
|---|---|
| [Attribute 1] — [brief description] | [Counter 1] — [what to avoid] |
| [Attribute 2] — [brief description] | [Counter 2] — [what to avoid] |
| [Attribute 3] — [brief description] | [Counter 3] — [what to avoid] |
| [Attribute 4] — [brief description] | [Counter 4] — [what to avoid] |
| [Attribute 5] — [brief description] | [Counter 5] — [what to avoid] |
Voice Attributes Detail
For each "We Are" attribute:
[Attribute 1]: [Name]
- What it means: [detailed description]
- How it shows up: [specific behaviors in content]
- What to avoid: [the "We Are Not" counterpart, expanded]
- Evidence: [source quote or pattern, with citation]
- Confidence: [High/Medium/Low]
[Repeat for each attribute]
---
Brand Personality
- Archetype: [e.g., "The Expert Friend" — technically deep but never condescending]
- If our brand were a person: [brief personality sketch]
- Core values expressed in voice: [list]
---
Messaging Framework
Primary Value Proposition
[Core value statement — one sentence]
Variations observed:
- "[Variation 1]" (Source: [doc])
- "[Variation 2]" (Source: [doc])
Key Message Pillars
1. [Pillar Name]
- Core idea: [one sentence]
- When to use: [contexts]
- Example phrasing: "[quote]"
- Frequency in conversations: [X]% (if transcript data available)
- Effectiveness: [High/Medium/Low] (if outcome data available)
2. [Pillar Name] [same format]
3. [Pillar Name] [same format]
Competitive Positioning
- vs. [Competitor A]: [how we differentiate]
- vs. [Competitor B]: [how we differentiate]
- vs. Status Quo: [why change is worth it]
---
Tone-by-Context Matrix
Voice is constant. Tone flexes by context. These three dimensions adjust:
| Context | Formality | Energy | Technical Depth | Key Principle |
|---|---|---|---|---|
| Cold outreach | Medium | High | Low | Hook fast, earn attention |
| Discovery calls | Medium | Medium-High | Medium | Ask more than tell |
| Demo / presentation | Medium-High | High | High | Show, don't just describe |
| Enterprise proposal | High | Medium | High | ROI and precision |
| Follow-up email | Medium | Medium | Low-Medium | Add new value each touch |
| Social media | Low-Medium | High | Low | Brevity and personality |
| Customer success | Medium | Warm | Medium | Empathy and competence |
| Internal comms | Low | Medium | Varies | Authentic, less polished |
Context-Specific Guidelines
Cold Outreach
- Overall tone: [description]
- Opening approach: [what works]
- Do's: [list]
- Don'ts: [list]
- Example: "[sample opening line]"
Discovery Calls
[same structure]
Proposals & RFPs
[same structure]
Social Media
[same structure]
---
Terminology Guide
Must-Use Terms
| Term | Usage | Instead Of | Example |
|---|---|---|---|
| [term] | [when/how to use] | [what it replaces] | "[in a sentence]" |
Preferred Terms
| Term | Usage | Example |
|---|---|---|
| [term] | [guidance] | "[in a sentence]" |
Avoid These Terms
| Term | Reason | Alternative |
|---|---|---|
| [term] | [why to avoid] | [what to use instead] |
Never-Use Terms
| Term | Reason |
|---|---|
| [term] | [why this is prohibited] |
---
Language That Works
Ranked by effectiveness (from conversation analysis, if available):
Top Phrases
1. "[Phrase]" — Context: [when to use], Why it works: [analysis] 2. "[Phrase]" — Context: [when to use], Why it works: [analysis]
Questions That Engage
1. "[Question]" — Leads to: [typical outcome] 2. "[Question]" — Leads to: [typical outcome]
Objection Handling Patterns
1. Objection: "[common objection]" Response pattern: "[how top performers respond]" Why it works: [analysis]
---
Language to Avoid
Anti-Patterns
1. "[Phrase/pattern]" — Problem: [what happens], Better: "[alternative]" 2. "[Phrase/pattern]" — Problem: [what happens], Better: "[alternative]"
---
Content Examples
Excellent Examples
[Full example with annotation explaining what makes it on-brand]
Examples to Avoid
[Full example with annotation explaining what's off-brand and how to fix it]
---
Confidence Scores
| Section | Confidence | Basis | Sources |
|---|---|---|---|
| Voice Attributes | [H/M/L] | [why] | [N sources] |
| Messaging Framework | [H/M/L] | [why] | [N sources] |
| Tone Matrix | [H/M/L] | [why] | [N sources] |
| Terminology | [H/M/L] | [why] | [N sources] |
| Language Patterns | [H/M/L] | [why] | [N sources] |
---
Open Questions for Team Discussion
High Priority (blocks guideline completion)
1. [Question Title]
- What was found: [description of ambiguity]
- Agent recommendation: [suggested resolution]
- Need from you: [specific decision]
Medium Priority (improves quality)
[same format]
Low Priority (nice to have)
[same format]
---
Data Gaps & Recommendations
[What's missing and specific actions to fill gaps]
- [ ] [Gap 1]: [recommendation to fill it]
- [ ] [Gap 2]: [recommendation to fill it]
---
Appendix: Sources
| # | Source | Platform | Type | Date | Key Sections Used | Confidence |
|---|---|---|---|---|---|---|
| 1 | [title] | [platform] | [AUTHORITATIVE/OPERATIONAL/etc.] | [date] | [sections] | [H/M/L] |
---
Template Usage Notes
- Omit sections with no data rather than including empty placeholders
- If transcript data is unavailable, omit the "Language That Works" and "Language to Avoid" sections
- If only documents are available (no transcripts), note this in metadata
- "We Are / We Are Not" table should have minimum 4 rows, ideally 5-7
- Tone matrix should cover at minimum: cold outreach, proposals, social media
- All examples must have source attribution
- Every open question must include an agent recommendation
Related skills
How it compares
Use guideline-generation for brand and operational standards with confidence scoring; use a README or API docs skill for technical code documentation.
FAQ
What is guideline-generation?
>
When should I use guideline-generation?
>
Is guideline-generation safe to install?
Review the Security Audits panel on this page before production use.