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fabric-heal Skill

AI Agent SkillPythonOpen source

Self-healing skill that improves signal mapper keyword coverage and capability coverage (ADR-0002) through iterative problem generation and keyword/capability patching. Use when user says "heal signal mapper", "improve keyword coverage", "improve capability coverage", "generate problem statements", "run healing loop", Published by microsoft in fabric-task-flows.

What is fabric-heal Skill?

Self-healing skill that improves signal mapper keyword coverage and capability coverage (ADR-0002) through iterative problem generation and keyword/capability patching. Use when user says "heal signal mapper", "improve keyword coverage", "improve capability coverage", "generate problem statements", "run healing loop", Published by microsoft in fabric-task-flows. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
41/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Documentation
  • Writing
  • Testing use cases
  • Documentation use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use fabric-heal Skill

  • Use it for testing.
  • Use it for documentation.
  • Use it for writing.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/fabric-task-flows
  • Skill file: .github/skills/fabric-heal/SKILL.md

What it does

Self-healing skill that improves signal mapper keyword coverage and capability coverage (ADR-0002) through iterative problem generation and keyword/capability patching. Use when user says "heal signal mapper", "improve keyword coverage", "improve capability coverage", "generate problem statements", "run healing loop",

Skill instructions

Fabric Signal Mapper Healer Mode 1: Generate Problem Statements Orchestrator passes --mode generate --batch-num N. Write 25 novel problem statements to problem-statements.md. Requirements Realistic (enterprise user), specific (volumes/tools/deadlines), multi-signal (2-3 categories), domain-diverse, varying complexity. Output Format (parser-dependent) markdown Problem Statements for Stress Testing Auto-generated batch N — 25 problems for self-healing loop. Category Name 1. "Problem statement text in quotes." 2. "Another problem in same category." Use 5-8 categories per batch, 3-5 problems per category. Mode 2: Analyze Gaps and Patch Keywords Orchestrator passes --mode heal with benchmark results (coverage %, zero-candidate count, uncovered terms). 1. Map uncovered terms to signal categories (1-11) 2. Update shared/registry/signal-categories.json using signal-categories-cli.py (max 15 new keywords per category per iteration) Orchestrator Reporting (Verbose Distribution) heal-orchestrator

Explore related resources

Frequently asked questions

What is fabric-heal?

fabric-heal is a open-source AI agent skill with Copy skill directory. Self-healing skill that improves signal mapper keyword coverage and capability coverage (ADR-0002) through iterative problem generation and keyword/capability patching.

Who is fabric-heal best for?

fabric-heal is best for reusing agent instructions, scripts, and references, testing workflows, documentation workflows, writing workflows.

How do I install fabric-heal?

Install or run fabric-heal using Copy skill directory. Check fabric-heal for the latest setup command.

Is fabric-heal actively maintained?

fabric-heal may need a closer maintenance check before production use.

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Stars
45
Forks
10
Last commit
2 months ago
Repository age
4 months
License
MIT

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