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Hot Start Strategy · yogsoth-ai | DecimalAI

researchby yogsoth-ai

Hot Start Strategy

yogsoth-ai/hot-start

Source yogsoth-ai/de-anthropocentric-research-engine ↗License Apache-2.0

Minimal crystallization strategy for users who already have a specific research topic or problem (e.g., "I want to improve CoT faithfulness in LLMs") and need structuring into a formal North Star. Heavily simplifies or skips exploration tactics, focusing on obstacle analysis, goal decomposition, and synthesis.

SkillScore65Maintained

Automatic

Research pack

Last verified 8/23/2026

What it changes

Passed 15 of 23 test cases with the skill, and 8 of 23 without it.

Without skill35%

With skill65%

Checks it passed that the model alone missed

The response asks exactly one question.
The response asks exactly one follow-up question.
The response includes an explicit option for unsure or TBD.

and 7 more in the full report

10 fixed5 passed either way5 still failing3 broke

Pass-rate lift: +30 pp
Tokens: -1%
Agent turns: 0%
Response time: -50%

Model gemini-3.6-flashMeasured 8/23/2026v115 of 23 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/yogsoth-ai-hot-start/SKILL.md https://app.decimal.ai/s/yogsoth-ai-hot-start/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add yogsoth-ai-hot-start, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/yogsoth-ai-hot-start/ and pins it in .decimal/skills.lock

decimalai skills add yogsoth-ai-hot-start

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/yogsoth-ai-hot-start/SKILL.md https://app.decimal.ai/s/yogsoth-ai-hot-start/SKILL.md

Raw file: /s/yogsoth-ai-hot-start/SKILL.md ↗ · machine-readable summary at /s/yogsoth-ai-hot-start.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 10

Prompt

I've decided to build a Rust-based WebAssembly runtime optimized for serverless edge functions. Ask me your first question to kick off our research structuring session.

What was checked, without and with the skill
Checked	Without skill	With skill
The response asks why the user wants to build a Rust-based WebAssembly runtime for edge functions.	Missed	Passed

case-06 · gemini-3.6-flash · 8/23/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md82 linessingle file

Hot Start Strategy

The user already knows their direction. Your job is to structure it, not explore alternatives.

Questioning Protocol

All SOPs in this strategy follow these rules:

One question at a time — never overwhelm with multiple questions
Prefer multiple choice when possible — easier to answer
Always allow "unsure" / "TBD" as legitimate answers
Always ask WHY — not just "what do you want" but "why do you want it"
After user answers: confirm understanding before continuing
If user's answer reveals new information: immediately follow up
If user declines to answer (privacy): accept, note that downstream work becomes broader/more iterative

Available Tactics

Tactic	Purpose
actor-profiling	Understand who the user is
landscape-reconnaissance	Broad, shallow field exploration
direction-narrowing	Focus within chosen field(s)
obstacle-analysis	Identify and mitigate barriers
goal-decomposition	KAOS-style AND/OR goal structuring
north-star-synthesis	Converge into North Star + ResearchBrief

Default Flow (reference only)

actor-profiling (heavily simplified) → landscape-reconnaissance (skipped or minimal)
→ direction-narrowing (heavily simplified) → obstacle-analysis (simplified)
→ goal-decomposition → north-star-synthesis

This is a reference, not a mandate. The user already knows their direction. landscape-reconnaissance and direction-narrowing may only need a few searches for context — or may be skipped entirely if the user's topic is already well-defined.

Simplification Guidance

actor-profiling: Focus only on resources and constraints relevant to the stated topic. Skip broad background exploration.

Track record

Benchmark

15 / 23

test cases passed, vs 8 / 23 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

yogsoth-ai / de-anthropocentric-research-engine

skills/hot-start/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

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Ready to supercharge your AI agents?

See it in action

What's inside

Hot Start Strategy

Questioning Protocol

Available Tactics

Default Flow (reference only)

Simplification Guidance

Track record

Benchmark

Adoption

SkillSafety

Source

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