Skill
formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced…
Automation
Skill
/ahrq-reason-classification
Classify gap root causes using AHRQ 4-reason framework (insufficient
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill ahrq-reason-classification --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/ahrq-reason-classification
Context preview
The summary Claude sees to decide when to auto-load this skill.
Classify gap root causes using AHRQ 4-reason framework (insufficient
SKILL.md
ahrq-reason-classification.SKILL.mdname: ahrq-reason-classification description: Classify gap root causes using AHRQ 4-reason framework (insufficient info, biased info, inconsistent info, not yet integrated). execution: subagent prompt: ./prompt.md input: gap_description (string), surrounding_evidence (string) dependencies: sops: - spawn-agent
AHRQ Reason Classification
Classify why a research gap exists using the AHRQ framework.
Execution
Subagent — spawned via subagent-spawning/spawn-agent.
Budget
One unit = one AHRQ reason classification pass.
<!-- BEGIN available-tables (generated) -->
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |
<!-- END available-tables (generated) -->
Ships withde-anthropocentric-research-engine
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Get the whole plugin
Stats
465
Stars
36
Forks
Active
Maintenance
HTML
Language
Apache-2.0
License
3d ago
Last commit
7mo ago
Created
Repo: yogsoth-ai/de-anthropocentric-research-engine
Other skills on de-anthropocentric-research-engine.
Skill
formated-specs
Spec-slot skill for the research-executor. Emit the 4-layer DARE orchestration of the assigned topic as one research-graph JSON fenced block in your reply.…
Skill
injection-fidelity
Loss-1 judge (codex role). Given one sample's de-identified dialogue and its PolicyCard, decide axis-by-axis whether the user-simulator enacted the card's…
Skill
ladder-quality-order
Loss-2 judge (codex role). Over one topic's 6 shuffled research-design samples, pairwise-rank by quality using the D1–D5 standard. Emit the pairwise log; the…
Skill
optimization-loop
The optimizer brain for the ladder-foundry pretraining loop. Runs the two-level nested batch loop, delegates gating to gate_eval, attributes a failing batch to…
Skill
acu-nugget-recall
Tactic: Extract atomic units from one paper and score how much of a caller-supplied summary covers. Use for ACU-style binary or Nugget-style ternary recall…