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Modifies DAG structure during execution in response to failures, new requirements, or runtime discoveries, supporting node insertion, removal, and dependency rewiring.
Synthesizes actionable feedback from validation results, confidence scores, and iteration triggers to create structured improvement guidance for re-execution within a DAG framework.
Identifies when task outputs require iteration based on quality signals, unmet requirements, or explicit feedback, and triggers appropriate re-execution strategies as part of the DAG Framework.
Validates agent outputs against expected schemas and quality criteria, ensuring outputs meet structural requirements and content standards as part of the DAG Framework.
Validates permission inheritance between parent and child agents, ensuring child permissions are equal to or more restrictive than parent within a DAG framework.
Combines and synthesizes outputs from parallel DAG branches, handling merge strategies, conflict resolution, and result formatting for fan-in operations.
Enforces file system boundaries and tool access restrictions at runtime within the DAG framework. Blocks unauthorized operations and logs violations, providing security guardrails for AI-assisted development workflows.
Matches natural language task descriptions to appropriate skills using semantic similarity, handling fuzzy matching, intent extraction, and capability alignment.
from leonardo-picciani/dataforseo-agent-skills
from snaplogic/snaplogic-robotframework-examples
A Claude Code skill for creating presentation decks, part of a collection of specialized AI agents and prompts for BSV blockchain development, project automation, and workflow optimization.
from jeremylongshore/claude-code-plugins-plus-skills
from jeremylongshore/claude-code-plugins-plus-skills