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[Topic Title] · agenticnotetaking | DecimalAI

researchby agenticnotetaking

[Topic Title]

agenticnotetaking/learn

Source agenticnotetaking/arscontexta ↗License MIT

Research a topic and grow your knowledge graph. Uses Exa deep researcher, web search, or basic search to investigate topics, files results with full provenance, and chains to processing pipeline.

SkillScore48Maintained

Automatic

Knowledge Management pack

Last verified 8/12/2026

What it changes

Passed 6 of 13 test cases with the skill, and 3 of 13 without it.

Without skill22%

With skill48%

Checks it passed that the model alone missed

Includes exa_model in the YAML frontmatter.
Includes a ## Key Findings section heading.
Includes exa_tool in the frontmatter metadata.

and 10 more in the full report

8 fixed3 passed either way10 still failing2 broke

Pass-rate lift: +26 pp
Tokens: +54%
Agent turns: 0%
Response time: -43%

Model gemini-3.6-flashMeasured 8/12/2026v111 of 23 cases passed with skill · 13 comparable

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/agenticnotetaking-learn/SKILL.md https://app.decimal.ai/s/agenticnotetaking-learn/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add agenticnotetaking-learn, 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/agenticnotetaking-learn/ and pins it in .decimal/skills.lock

decimalai skills add agenticnotetaking-learn

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

curl -fsSL --create-dirs -o .claude/skills/agenticnotetaking-learn/SKILL.md https://app.decimal.ai/s/agenticnotetaking-learn/SKILL.md

Raw file: /s/agenticnotetaking-learn/SKILL.md ↗ · machine-readable summary at /s/agenticnotetaking-learn.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 8

Prompt

Research 'quantum key distribution' when pipeline.chaining is set to automatic in ops/config.yaml. What text should appear after the next step line?

What was checked, without and with the skill
Checked	Without skill	With skill
States that the note is queued for automatic processing.	Missed	Passed

case-15 · gemini-3.6-flash · 8/12/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md245 linessingle file

EXECUTE NOW

Topic: $ARGUMENTS

Parse immediately:

If topic provided: research that topic
If topic empty: read self/goals.md for highest-priority unexplored direction and propose it
If topic includes --deep/--light/--moderate: force that depth, strip flag from topic
If no topic and no goals.md: ask "What would you like to research?"

Steps:

Read config — tool preferences, depth, domain vocabulary
Determine depth — from flags, config default, or fallback to moderate
Research — tool cascade: primary → fallback → last resort
File to inbox — with full provenance metadata
Chain to processing — next step based on pipeline chaining mode
Update goals.md — append new research directions discovered

START NOW. Reference below explains methodology.

Step 1: Read Configuration

ops/config.yaml             — research tools, depth, pipeline chaining
ops/derivation-manifest.md  — domain vocabulary (inbox folder, reduce skill name)

From config.yaml (defaults if missing):

research:
  primary: exa-deep-research      # exa-deep-research | exa-web-search | web-search
  fallback: exa-web-search
  last_resort: web-search
  default_depth: moderate          # light | moderate | deep
pipeline:
  chaining: suggested             # manual | suggested | automatic

Track record

Benchmark

6 / 13

test cases passed, vs 3 / 13 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

agenticnotetaking / arscontexta

skill-sources/learn/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.