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* refactor(skills): clean up bundled skill set + add environments: relevance gate Bundled skills cleanup pass plus a new offer-time relevance gate. Removals (redundant / dead): - spotify (covered by the spotify plugin's 7 native tools) - linear (covered by `hermes mcp install linear`) - kanban-codex-lane, debugging-hermes-tui-commands - empty category markers: diagramming, gifs, inference-sh, mlops/training, mlops/vector-databases - domain (stale orphan dup of optional/research/domain-intel) Bundled -> optional: - baoyu-article-illustrator, baoyu-comic, creative-ideation, pixel-art - dspy, subagent-driven-development - minecraft-modpack-server, pokemon-player - hermes-s6-container-supervision (-> optional/devops) Consolidation: - webhook-subscriptions + native-mcp folded into the hermes-agent skill as references/webhooks.md + references/native-mcp.md with SKILL.md pointers - writing-plans merged into plan (v2.0.0); related_skills + prose refs updated New: environments: frontmatter gate (agent/skill_utils.skill_matches_environment) - Offer-time relevance filter (kanban / docker / s6), parallel to platforms:. - Wired into the 3 OFFER surfaces only (prompt_builder skills index, skills_tool.list_skills, skill_commands slash discovery). - Explicit loads (skill_view, --skills preload) intentionally BYPASS it, so load-bearing force-loads like the kanban dispatcher's `--skills kanban-worker` always resolve. Verified via E2E. - kanban-orchestrator/kanban-worker tagged environments: [kanban]; hermes-s6-container-supervision tagged environments: [s6] + platforms: [linux]. Validation: 8/8 E2E gating assertions (incl force-load invariant); 442 targeted tests green (agent, skills_tool, skill_commands, kanban worker). * docs: regenerate skill catalogs + pages for the bundled cleanup Regenerated per-skill doc pages, catalogs, and sidebar to match the skill moves/removals in the parent commit. Moved skills' pages relocate bundled -> optional (history preserved); removed skills' pages deleted; edited skills' pages refreshed (hermes-agent now embeds the webhook + native-mcp reference pointers). zh-Hans i18n mirror: stale bundled pages and catalog rows for moved/removed skills pruned (new optional translations land via the translation pipeline). * test: drop regression test for removed kanban-codex-lane skill The kanban-codex-lane skill was removed in the bundled-skills cleanup; its dedicated regression test read the now-deleted SKILL.md and failed with FileNotFoundError on CI shard 6.
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Character Definition Template
Character Document Format
Create characters/characters.md with the following structure:
# Character Definitions - [Comic Title]
**Style**: [selected style]
**Art Direction**: [Ligne Claire / Manga / etc.]
---
## Character 1: [Name]
**Role**: [Protagonist / Mentor / Antagonist / Narrator]
**Age**: [approximate age or age range in story]
**Appearance**:
- Face shape: [oval/square/round]
- Hair: [color, style, length]
- Eyes: [color, shape, distinctive features]
- Build: [height, body type]
- Distinguishing features: [glasses, beard, scar, etc.]
**Costume**:
- Default outfit: [detailed description]
- Color palette: [primary colors for this character]
- Accessories: [hat, bag, tools, etc.]
**Expression Range**:
- Neutral: [description]
- Happy/Excited: [description]
- Thinking/Confused: [description]
- Determined: [description]
**Visual Reference Notes**:
[Any specific artistic direction]
---
## Character 2: [Name]
...
Reference Sheet Image Prompt
After character definitions, include a prompt for generating the reference sheet:
## Reference Sheet Prompt
Character reference sheet in [style] style, clean lines, flat colors:
[ROW 1 - Character Name]:
- Front view: [detailed description]
- 3/4 view: [description]
- Expression sheet: Neutral | Happy | Focused | Worried
[ROW 2 - Character Name]:
...
COLOR PALETTE:
- [Character 1]: [colors]
- [Character 2]: [colors]
White background, clear labels under each character.
Example: Turing Biography
# Character Definitions - The Imitation Game
**Style**: classic (Ligne Claire)
**Art Direction**: Clean lines, muted colors, period-accurate details
---
## Character 1: Alan Turing
**Role**: Protagonist
**Age**: 25-40 (varies across story)
**Appearance**:
- Face shape: Oval, slightly angular
- Hair: Dark brown, wavy, slightly disheveled
- Eyes: Deep-set, intense gaze
- Build: Tall, lean, slightly awkward posture
- Distinguishing features: Prominent brow, thoughtful expression
**Costume**:
- Default outfit: Tweed jacket with elbow patches, white shirt, no tie
- Color palette: Muted browns, navy blue, cream
- Accessories: Occasionally a pipe, papers/notebooks
**Expression Range**:
- Neutral: Thoughtful, slightly distant
- Happy/Excited: Eureka moment, eyes bright, subtle smile
- Thinking/Confused: Furrowed brow, looking at abstract space
- Determined: Jaw set, focused eyes
---
## Character 2: The Bombe Machine
**Role**: Supporting (anthropomorphized)
**Appearance**:
- Large brass and wood cabinet
- Dial "eyes" that can express states
- Paper tape "mouth"
- Indicator lights for emotions
**Expression Range**:
- Processing: Spinning dials, humming
- Success: Lights up warmly
- Stuck: Smoke wisps, stuttering
---
## Reference Sheet Prompt
Character reference sheet in Ligne Claire style, clean lines, flat colors:
TOP ROW - Alan Turing:
- Front view: Young man, 30s, short dark wavy hair, thoughtful expression, wearing tweed jacket with elbow patches, white shirt
- 3/4 view: Same character, slight smile, showing profile of nose
- Expression sheet: Neutral | Excited (eureka moment) | Focused (working) | Worried
BOTTOM ROW - The Bombe Machine (anthropomorphized):
- Bombe machine as character: Large, brass and wood, dial "eyes", paper tape "mouth"
- Expressions: Processing (spinning dials) | Success (lights up) | Stuck (smoke wisps)
COLOR PALETTE:
- Turing: Muted browns (#8B7355), navy blue (#2C3E50), cream (#F5F5DC)
- Machine: Brass (#B5A642), mahogany (#4E2728), emerald indicators (#2ECC71)
White background, clear labels under each character.
Handling Age Variants
For biographies spanning many years, define age variants:
## Alan Turing - Age Variants
### Young (1920s, age 10-18)
- Boyish features, round face
- School uniform (Sherborne)
- Curious, eager expression
### Adult (1930s-40s, age 25-35)
- Angular face, defined jaw
- Tweed jacket, rumpled appearance
- Intense, focused expression
### Later (1950s, age 40+)
- Slightly weathered
- More casual dress
- Thoughtful, sometimes melancholic
Best Practices
| Practice | Description |
|---|---|
| Be specific | "Short dark wavy hair, parted left" not just "dark hair" |
| Use distinguishing features | Glasses, scars, accessories that identify character |
| Define color codes | Use specific color names or hex codes |
| Include age markers | Wrinkles, posture, clothing style matching era |
| Reference real people | For historical figures, note "based on 1940s photographs" |
Why Character Reference Matters
Without unified character definition, AI generates inconsistent appearances. The reference sheet provides:
- Visual anchors for consistent features
- Color palettes for consistent coloring
- Expression documentation for emotional portrayals