Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
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Parameterized prompt templates using Jinja2 patterns for reusable, dynamic agent prompts
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Define reusable, parameterized prompt templates for agent tasks. Templates enable consistent prompt formatting across workflows while allowing dynamic content injection.
Use Jinja2-style variable interpolation in prompt strings:
{{ variable }} — Variable substitution
{% if condition %}...{% endif %} — Conditional sections
{% for item in list %}...{% endfor %} — Iteration
{{ variable | default("fallback") }} — Default values
SandboxedEnvironment (NOT Environment or from_string() directly)env(), os, subprocess, or any system functions.claude/skills/<skill-name>/templates/
├── analysis.md.j2
├── report.md.j2
└── triage.md.j2
# In skill or workflow definition
template: analysis.md.j2
variables:
target: "{{ repository_url }}"
scope: "security"
depth: "comprehensive"
Rendered by orchestrator before passing to agent as prompt.
Role: {{ domain }} {{ role }} analyst
Scope: {{ topic }}
Tasks:
{% for task in tasks %}
{{ loop.index }}. {{ task }}
{% endfor %}
Output format:
{{ output_format }}
Analyze {{ cve_id }} ({{ cwe_classification }})
Affected component: {{ component }} {{ version_range }}
{% if existing_mitigations %}
Known mitigations: {{ existing_mitigations }}
{% endif %}
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Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
中文简介正在准备中。当前显示原文说明。
Auto-detect project context and optimize harness — deactivate unused agents/skills, suggest missing experts, generate project profile
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Adversarial code review using attacker mindset — trust boundary, attack surface, business logic, and defense evaluation
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Apache Airflow best practices for DAG authoring, testing, and production deployment
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Alembic migration patterns for naming conventions, safety checks, expand-contract, env.py configuration, and CI integration
中文简介正在准备中。当前显示原文说明。
Pre-routing ambiguity analysis — scores request clarity and asks clarifying questions when needed (inspired by ouroboros)
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