📂 Category: HIVE FRAMEWORK
This section details the extensive use cases and training materials for the HIVE FRAMEWORK domain.
🛠️ Skill: hive
Description: Complete workflow for building, implementing, and testing goal-driven agents. Orchestrates hive-* skills. Use when starting a new agent project, unsure which skill to use, or need end-to-end guidance.
🧠 Core Directives & Framework
No specific directives found.
🎯 Primary Use Cases
- Direct Execution: When you need to immediately apply the
hiveworkflow to the current task. - Consultation: When asking the AI to review your existing architecture against the principles defined in
hive. - Orchestration: As part of a larger multi-agent sequence where
hivehandles a specific specialized sub-task.
💡 Training & Invocation Examples
To trigger this skill in your AI assistant, use explicit phrasing:
"Adopt the hive workflow to accomplish this task." "Please load the hive skill and evaluate my code." "Use the
search_skillstool to find the exact instructions for hive."
🛠️ Skill: hive-concepts
Description: Core concepts for goal-driven agents - architecture, node types (event_loop, function), tool discovery, and workflow overview. Use when starting agent development or need to understand agent fundamentals.
🧠 Core Directives & Framework
No specific directives found.
🎯 Primary Use Cases
- Direct Execution: When you need to immediately apply the
hive-conceptsworkflow to the current task. - Consultation: When asking the AI to review your existing architecture against the principles defined in
hive-concepts. - Orchestration: As part of a larger multi-agent sequence where
hive-conceptshandles a specific specialized sub-task.
💡 Training & Invocation Examples
To trigger this skill in your AI assistant, use explicit phrasing:
"Adopt the hive-concepts workflow to accomplish this task." "Please load the hive-concepts skill and evaluate my code." "Use the
search_skillstool to find the exact instructions for hive-concepts."
🛠️ Skill: hive-create
Description: Step-by-step guide for building goal-driven agents. Qualifies use cases first (the good, bad, and ugly), then creates package structure, defines goals, adds nodes, connects edges, and finalizes agent class. Use when actively building an agent.
🧠 Core Directives & Framework
No specific directives found.
🎯 Primary Use Cases
- Direct Execution: When you need to immediately apply the
hive-createworkflow to the current task. - Consultation: When asking the AI to review your existing architecture against the principles defined in
hive-create. - Orchestration: As part of a larger multi-agent sequence where
hive-createhandles a specific specialized sub-task.
💡 Training & Invocation Examples
To trigger this skill in your AI assistant, use explicit phrasing:
"Adopt the hive-create workflow to accomplish this task." "Please load the hive-create skill and evaluate my code." "Use the
search_skillstool to find the exact instructions for hive-create."
🛠️ Skill: hive-credentials
Description: Set up and install credentials for an agent. Detects missing credentials from agent config, collects them from the user, and stores them securely in the local encrypted store at ~/.hive/credentials.
🧠 Core Directives & Framework
No specific directives found.
🎯 Primary Use Cases
- Direct Execution: When you need to immediately apply the
hive-credentialsworkflow to the current task. - Consultation: When asking the AI to review your existing architecture against the principles defined in
hive-credentials. - Orchestration: As part of a larger multi-agent sequence where
hive-credentialshandles a specific specialized sub-task.
💡 Training & Invocation Examples
To trigger this skill in your AI assistant, use explicit phrasing:
"Adopt the hive-credentials workflow to accomplish this task." "Please load the hive-credentials skill and evaluate my code." "Use the
search_skillstool to find the exact instructions for hive-credentials."
🛠️ Skill: hive-debugger
Description: Interactive debugging companion for Hive agents - identifies runtime issues and proposes solutions
🧠 Core Directives & Framework
No specific directives found.
🎯 Primary Use Cases
- Direct Execution: When you need to immediately apply the
hive-debuggerworkflow to the current task. - Consultation: When asking the AI to review your existing architecture against the principles defined in
hive-debugger. - Orchestration: As part of a larger multi-agent sequence where
hive-debuggerhandles a specific specialized sub-task.
💡 Training & Invocation Examples
To trigger this skill in your AI assistant, use explicit phrasing:
"Adopt the hive-debugger workflow to accomplish this task." "Please load the hive-debugger skill and evaluate my code." "Use the
search_skillstool to find the exact instructions for hive-debugger."
🛠️ Skill: hive-patterns
Description: Best practices, patterns, and examples for building goal-driven agents. Includes client-facing interaction, feedback edges, judge patterns, fan-out/fan-in, context management, and anti-patterns.
🧠 Core Directives & Framework
No specific directives found.
🎯 Primary Use Cases
- Direct Execution: When you need to immediately apply the
hive-patternsworkflow to the current task. - Consultation: When asking the AI to review your existing architecture against the principles defined in
hive-patterns. - Orchestration: As part of a larger multi-agent sequence where
hive-patternshandles a specific specialized sub-task.
💡 Training & Invocation Examples
To trigger this skill in your AI assistant, use explicit phrasing:
"Adopt the hive-patterns workflow to accomplish this task." "Please load the hive-patterns skill and evaluate my code." "Use the
search_skillstool to find the exact instructions for hive-patterns."
🛠️ Skill: hive-test
Description: Iterative agent testing with session recovery. Execute, analyze, fix, resume from checkpoints. Use when testing an agent, debugging test failures, or verifying fixes without re-running from scratch.
🧠 Core Directives & Framework
Running in MOCK MODE - structure validation only") else: pytest.fail( " ANTHROPIC_API_KEY not set! " "Set API key: export ANTHROPIC_API_KEY=<YOUR_API_KEY> " "Or run structure validation: MOCK_MODE=1 pytest exports/{agent}/tests/" )
if not mock_mode:
agent_tools = [] # Update per agent
missing = creds.get_missing_for_tools(agent_tools)
if missing:
lines = ["
Missing tool credentials!"] for name in missing: spec = creds.specs.get(name) if spec: lines.append(f" {spec.env_var} - {spec.description}") pytest.fail("
🎯 Primary Use Cases
- Direct Execution: When you need to immediately apply the
hive-testworkflow to the current task. - Consultation: When asking the AI to review your existing architecture against the principles defined in
hive-test. - Orchestration: As part of a larger multi-agent sequence where
hive-testhandles a specific specialized sub-task.
💡 Training & Invocation Examples
To trigger this skill in your AI assistant, use explicit phrasing:
"Adopt the hive-test workflow to accomplish this task." "Please load the hive-test skill and evaluate my code." "Use the
search_skillstool to find the exact instructions for hive-test."
🛠️ Skill: triage-issue-skill
Description: Specialized skill for triage issue skill workflows.
🧠 Core Directives & Framework
No specific directives found.
🎯 Primary Use Cases
- Direct Execution: When you need to immediately apply the
triage-issue-skillworkflow to the current task. - Consultation: When asking the AI to review your existing architecture against the principles defined in
triage-issue-skill. - Orchestration: As part of a larger multi-agent sequence where
triage-issue-skillhandles a specific specialized sub-task.
💡 Training & Invocation Examples
To trigger this skill in your AI assistant, use explicit phrasing:
"Adopt the triage-issue-skill workflow to accomplish this task." "Please load the triage-issue-skill skill and evaluate my code." "Use the
search_skillstool to find the exact instructions for triage-issue-skill."