一键导入
fabric-patterns
Implements a Fabric-like reusable prompt pattern system. Allows storing, retrieving, and composing prompt patterns for consistent AI interactions.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Implements a Fabric-like reusable prompt pattern system. Allows storing, retrieving, and composing prompt patterns for consistent AI interactions.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | fabric-patterns |
| description | Implements a Fabric-like reusable prompt pattern system. Allows storing, retrieving, and composing prompt patterns for consistent AI interactions. |
| triggers | ["use fabric pattern","apply pattern","stitch patterns"] |
| references | [".Codex/skills/prompt-library/SKILL.md"] |
Provides a reusable prompt pattern system inspired by Fabric (danielmiessler/fabric). Enables agents to store, retrieve, and compose prompt patterns for consistent and efficient AI interactions.
This skill creates and manages:
.Codex/skills/fabric-patterns/
patterns/ ← Directory for storing pattern files
summarize.md ← Example pattern: summarize content
extract_wisdom.md ← Example pattern: extract key insights
... ← Other patterns
PATTERN_INDEX.md ← Index of all available patterns
Each pattern is a Markdown file with optional YAML frontmatter:
---
name: pattern_name
description: Human-readable description of what the pattern does
version: "1.0.0"
---
The content after the frontmatter is the prompt template. Template variables can be used with {{variable_name}} syntax.
The skill ensures .Codex/skills/fabric-patterns/patterns/ exists.
Use the list_patterns tool to see all available patterns.
Use the get_pattern tool to retrieve a pattern's content.
Use the apply_pattern tool to render a pattern with specific variable values.
Use the stitch_patterns tool to combine multiple patterns in sequence,
where the output of one pattern becomes the input to the next.
Create new Markdown files in the patterns directory following the format above.
This skill provides the following tools (to be implemented in agent/tools.py):
list_patterns(): Lists all available pattern names and descriptionsget_pattern(name): Retrieves the raw content of a patternapply_pattern(name, variables): Applies a pattern with variable substitutionstitch_patterns(pattern_names, initial_input): Chains patterns together---
name: summarize
description: Create a concise summary of the provided content
version: "1.0.0"
---
{{content}}
Please provide a concise summary of the above content, capturing the main points in 3-5 sentences or less.
### extract_wisdom.md
```yaml
---
name: extract_wisdom
description: Extract key insights, quotes, and actionable ideas from content
version: "1.0.0"
---
{{content}}
From the above content, extract:
Format as a structured list.
## Integration with Agent System
Patterns can be used by any agent through the provided tools. For example:
- The Planner agent might use patterns to structure its planning prompts
- The Implementer agent might apply patterns when generating code comments
- The Reviewer agent might use patterns for consistent review criteria
## Related Skills
- `prompt-library`: Snapshots of agent and skill prompts for transparency
- `prompt-transparency`: Generates plain-language explanations of agent behaviors
- `system-prompt-audit`: Audits prompts for consistency and safety
## Acceptance Checks
- [ ] Pattern directory exists at `.Codex/skills/fabric-patterns/patterns/`
- [ ] At least two example patterns exist (summarize, extract_wisdom)
- [ ] Tools for listing, getting, applying, and stitching patterns are implemented
- [ ] Pattern template variable substitution works correctly
- [ ] Stitching chains patterns properly (output of one becomes input to next)
Onboard a new client/company onto this platform's real Agentic OS: create the company record, scan its websites/repos, auto-provision specialist agents, activate its 24x7 agency runtime, and know exactly which "OS" building blocks (memory, integrations, dashboard) already exist versus which are roadmap gaps. ADAPTED FROM: a third-party giveaway skill ("agentic-os-installer" by Gennaro Santoro / Operations Heroes) that described a generic vault + Google-suite + skill-pack installer. That skill's product (Obsidian vault, Gmail/Calendar/ Drive wiring, "skill packs") does not exist in this repo and its promotional content (Skool community link) does not belong here. This is a clean-room rewrite that keeps the useful idea — "stand up a working agency OS for a client from a short checklist" — and maps every step to the real module that already implements it in this codebase, per CLAUDE.md architecture rules.
Agile sprint planning, velocity tracking, and burndown metrics for agent-managed projects
Initiative-level portfolio management with dependency tracking and milestone coordination
AI-assisted engineering impact analysis — productivity metrics and code quality insights
Cross-harness agent patterns — standardize agent execution across different coding assistants
Temporal context graph for agent memory — track entity relationships and state changes over time