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…
Find positive deviants and reframe the problem from deficit-based to
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill appreciative-reframing --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/appreciative-reframingContext preview
The summary Claude sees to decide when to auto-load this skill.
Find positive deviants and reframe the problem from deficit-based to
name: appreciative-reframing description: Find positive deviants and reframe the problem from deficit-based to asset-based using Appreciative Inquiry. dependencies: sops: - appreciative-discovery - reformulation-synthesis
Instead of "what's wrong?", ask "what's already working and why?"
| Base SOP | Target | ±10% Range | |----------|--------|------------| | web-search | 25 | 22–28 | | web-research | 10 | 9–11 | | paper-overview | 25 | 22–28 | | paper-search | 15 | 13–17 | | paper-research | 5 | 4–6 |
<HARD-GATE> | SOP | Done | Target | % | |-----|------|--------|---| | web-search | ? | 25 | ? | | web-research | ? | 10 | ? | | paper-overview | ? | 25 | ? | | paper-search | ? | 15 | ? | | paper-research | ? | 5 | ? | Budget Gate: OPEN/CLOSED (>=80% required to exit) </HARD-GATE>
**Import:** web-search, web-research, paper-overview, paper-search, paper-research **Subagent:** appreciative-discovery, reformulation-synthesis
Find positive deviants (cases that succeed despite the general problem), identify their enabling conditions, reframe the problem as "how to create more of what already works."
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Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | appreciative-discovery | Search for positive deviants and extract transferable principles using Appreciative Inquiry. | | reformulation-synthesis | Compile all problem reformulation analyses into a coherent report with a recommended new problem definition. |
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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.
Repo: yogsoth-ai/de-anthropocentric-research-engine
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…
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.…
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…
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…
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…
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…