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Technology Research · jamestorrevillas | DecimalAI

researchby jamestorrevillas

Technology Research

jamestorrevillas/tech-research

Source jamestorrevillas/dev-skills ↗License MIT

Use this skill when evaluating technologies, comparing frameworks, making build vs buy decisions, researching best practices, or synthesizing information for a technical decision. Trigger on keywords: should I use, which framework, technology comparison, evaluate, build vs buy, what's the best tool for, research this technology, is X worth learning.

SkillScore86Maintained

Automatic

Research pack

Last verified 8/3/2026

What it changes

Passed 19 of 22 test cases with the skill, and 14 of 22 without it.

Without skill64%

With skill86%

Checks it passed that the model alone missed

The document contains the header field '**Date:**'.
The output contains the section header '### Context'.
The document contains the header field '**Decided by:**'.

and 5 more in the full report

6 fixed13 passed either way2 still failing1 broke

Pass-rate lift: +23 pp
Tokens: +9%
Agent turns: 0%
Response time: -16%

Model gemini-3.6-flashMeasured 8/3/2026v119 of 22 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/jamestorrevillas-tech-research/SKILL.md https://app.decimal.ai/s/jamestorrevillas-tech-research/SKILL.md

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

decimalai skills add jamestorrevillas-tech-research

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

curl -fsSL --create-dirs -o .claude/skills/jamestorrevillas-tech-research/SKILL.md https://app.decimal.ai/s/jamestorrevillas-tech-research/SKILL.md

Raw file: /s/jamestorrevillas-tech-research/SKILL.md ↗ · machine-readable summary at /s/jamestorrevillas-tech-research.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 6

Prompt

Our development team consists entirely of Python developers. We are evaluating a new Rust web framework versus FastAPI for a project with a tight delivery schedule. Which specific technical evaluation criterion addresses developer ramp-up time?

What was checked, without and with the skill
Checked	Without skill	With skill
The response categorizes developer ramp-up time under Learning Curve or Team Familiarity.	Missed	Passed

case-22 · gemini-3.6-flash · 8/3/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md101 linessingle file

Technology Research

Research Process

1. DEFINE    — What specific decision are we making?
2. CONSTRAIN — What are the non-negotiables? (team skills, budget, timeline)
3. GATHER    — Collect data from quality sources
4. COMPARE   — Evaluate options against the same criteria
5. DECIDE    — Choose with explicit reasoning
6. DOCUMENT  — Record the decision for future reference

Technology Evaluation Criteria

Criterion	What to Look For
Problem Fit	Does it actually solve YOUR problem?
Maturity	Production-proven? Version 1.x or 0.x?
Community	Active GitHub, Stack Overflow, Discord
Maintenance	Last commit? Open issues? Response time?
Performance	Benchmarks relevant to your scale
Learning Curve	Team familiarity, documentation quality
Ecosystem	Plugins, integrations, tooling
Exit Cost	How hard to migrate away?
License	MIT/Apache (permissive) vs GPL vs commercial

Source Quality Hierarchy

Official documentation — authoritative, check version
Production case studies — most reliable, hardest to find
Benchmark comparisons — verify the benchmark matches your use case
Respected technical blogs — check date and author credentials
Reddit / Hacker News — good for real-world sentiment and gotchas
YouTube tutorials — useful for learning, not for decisions

Track record

Benchmark

19 / 22

test cases passed, vs 14 / 22 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 — 8/1/2026

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

jamestorrevillas / dev-skills

.github/skills/tech-research/SKILL.md

View on GitHub ↗

License MITImported 8/1/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

jamestorrevillas/research-synthesisUse this skill when researching technologies, synthesizing multiple sources, evaluating tech stack decisions, comparing frameworks, or writing technical research summaries. Trigger on keywords: research, compare, evaluate, which is better, technology decision, should I use, pros and cons, synthesis, stack decision.Near-identical description+32 pp pass-rate lift

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

Ready to supercharge your AI agents?

See it in action

What's inside

Technology Research

Research Process

Technology Evaluation Criteria

Source Quality Hierarchy

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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