Automated summary

Extracts Federated Taxonomy tags from text for memory storage and graph traversal, using LLM extraction and deterministic validation.

Strengths

Provides structured tags (bridge, collection) for cross-collection queries.
Uses deterministic validation to filter to known vocabulary.
Includes confidence and worth_remembering fields for filtering.
Supports multiple collection types (lore, operational, sparta).

Limitations

Requires a predefined taxonomy vocabulary which may not cover all concepts.
The script (run.sh) needs to be available and configured.
Only works with text input, not images or audio.

When to use it

When you need to extract standardized tags from textual content to store in a memory graph and enable graph-based retrieval.

When not to use it

When you need raw keyword extraction without taxonomy constraints, or when the content is not text-based.

Security analysis

Safe

Quality score88/100

The skill uses Bash and Read tools to run a tag extraction script with deterministic validation against known vocabularies. There are no destructive commands, exfiltration attempts, or obfuscation. The functionality is benign and well-defined.

No concerns found

How this analysis is made

Examples

Extract tags from error handling description

Extract Federated Taxonomy tags from this text: 'Error handling in the authentication module' with collection operational.

Get bridge tags only

Extract bridge tags from this text: 'The system is resilient against failures, but has some fragile legacy components' and only return bridge tags.

Classify text for lore collection

Classify this narrative text with taxonomy tags: 'The hero's journey through the corrupted data maze' for lore collection.

name: taxonomy description: > Extract Federated Taxonomy tags from text. LLM extracts candidates, deterministic validation filters to known vocabulary. Returns bridge tags for multi-hop graph traversal. allowed-tools: ["Bash", "Read"] triggers:

taxonomy
tag this
classify
what tags
bridge tags metadata: short-description: Extract taxonomy tags for graph traversal

Taxonomy

Name: Federated Taxonomy Classification
Author: Skills Guide Bot

Extract Federated Taxonomy tags from text for memory storage and multi-hop graph traversal.

Quick Start

# Extract tags from text
./run.sh --text "Error handling in the authentication module" --collection operational

# Extract from file
./run.sh --file document.txt --collection lore

# Just get bridge tags (for graph traversal)
./run.sh --text "..." --bridges-only

Output

{
  "bridge_tags": ["Resilience", "Loyalty"],
  "collection_tags": {"function": "Fix", "domain": "Middleware"},
  "confidence": 0.8,
  "worth_remembering": true
}

Bridge Tags (Tier 0)

Shared across all collections - enable cross-collection queries:

| Tag | Indicates | |-----|-----------| | Precision | Methodical, optimized, algorithmic | | Resilience | Fault tolerance, error handling, robustness | | Fragility | Technical debt, brittleness, single point of failure | | Corruption | Bugs, data corruption, silent failures | | Loyalty | Security, compliance, auth, encryption | | Stealth | Hidden, evasion, infiltration |

Collection Types

lore - Narrative/story content (HLT vocabulary)
operational - Code/technical lessons (Operational vocabulary)
sparta - Security content (ATT&CK/D3FEND vocabulary)

Use Cases

Before storing to memory: Get tags to enable graph traversal
Filtering what to remember: Check worth_remembering field
Cross-collection queries: Use bridge_tags for multi-hop search

Composing with /learn

# /learn can call /taxonomy for tag extraction
tags=$(./run.sh --text "$content" --collection operational --json)
bridge_tags=$(echo "$tags" | jq -r '.bridge_tags | join(",")')

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/federated-taxonomy-classification-mm78nnjp/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/federated-taxonomy-classification-mm78nnjp' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/federated-taxonomy-classification-mm78nnjp/download' --output '.skill-downloads/federated-taxonomy-classification-mm78nnjp/SKILL.md.part' && mv '.skill-downloads/federated-taxonomy-classification-mm78nnjp/SKILL.md.part' '.skill-downloads/federated-taxonomy-classification-mm78nnjp/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code

test -f '.skill-downloads/federated-taxonomy-classification-mm78nnjp/SKILL.md' && test -s '.skill-downloads/federated-taxonomy-classification-mm78nnjp/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/taxonomy' && cp -R '.skill-downloads/federated-taxonomy-classification-mm78nnjp' '.claude/skills/taxonomy'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation

openskills install './.skill-downloads/federated-taxonomy-classification-mm78nnjp'

openskills read 'federated-taxonomy-classification-mm78nnjp'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/federated-taxonomy-classification-mm78nnjp/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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