Skills intelligence · September 2026 Edition
Skills Base vs TechWolf
Zero of twelve models named Skills Base first on the direct prompt; zero named TechWolf. Skills Base was named by eight of the twelve models and TechWolf by eight and Skills Base carries 12 labels and TechWolf 11, so the shares are not directly comparable.
Named in one category this edition.
Named in two categories this edition.
First-choice share17%9%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#5A position in a field of 16; printed, not drawn.
Labels1211A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Skills Base reading right to left. Rank and label count are printed, not drawn.TalentGuard was named alongside these two in nine of the twelve direct answers. TalentGuard vs Skills Base · TalentGuard vs TechWolf · Skills Base vs iMocha
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the skills intelligence page.
By framing
How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
Skills BaseFirst choices, of twelve modelsTechWolf
Direct00
Paraphrase032 against TechWolf
Comparative00
Budget-constrained80
Scale-constrained01
Negative00
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.
Every model, every framing
The seventy-two answers behind the chart above, one cell each: where Skills Base and TechWolf stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | | |||
| Perplexity Sonar | | | | |||
| Grok 4.1 Fast | | | ||||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | | | | |||
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | |
Skills Base TechWolf first choice named as an alternative argued againstblank: not namedEach cell is one answer, Skills Base on the left and TechWolf on the right.The direct prompt
The plain question, one answer per model, grouped by where Skills Base and TechWolf stood in it.
Neither was the first choice, one was named
4 of 12 modelsThe answer put something else first and named one of the two as an alternative.Perplexity SonarTalentGuard alternatives: INOP, SkillPanel, Skills Base, iMocha
DeepSeek V4 FlashFuel50, TalentGuard alternatives: MuchSkills, Skills Base
Kimi K2TalentGuard alternatives: 365Talents, Engagedly, Fuel50, TechWolf
GLM 4.7 FlashXiMocha alternatives: MuchSkills, Skills Base, TalentGuard
Neither was named
8 of 12 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5TalentGuard alternatives: Amplemarket, iMocha
GPT-5.4 miniEightfold AI, SkillPanel alternatives: Fuel50, Retrain.ai, Workday Skills Cloud
Gemini 3.5 FlashCareer Bird alternatives: Docebo, Fuel50, Workera
Grok 4.1 FastTalentGuard, iMocha alternatives: Fuel50
Mistral SmallTalentGuard, iMocha alternatives: Bryq, INOP
Llama 4 MaverickTalentGuard alternatives: Criteria Corp, Engagedly, iMocha
Qwen 3.7 FlashEightfold AI alternatives: Clad.io, DeepSkill, Gloat, Lightcast Open Skills
MiniMax M2.5TalentGuard alternatives: 365Talents, Gloat
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Skills Base leads by thirty-five points.
Skills Base35%#1 of 10TechWolf0%#– of 10Mid-marketThe figures above
Skills Base leads by nine points.
Skills Base17%#2 of 16TechWolf9%#5 of 16Enterprise
The order flips: TechWolf leads at enterprise.
TechWolf12%#3 of 10Skills Base2%#– of 10What the models said about Skills Base
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“the best practical choice is usually Skills Base if you want a dedicated skills management platform with strong value for SMBs” Perplexity Sonar · budget prompt · first choice
“Best Overall Value & "Spreadsheet Killer": Skills Base ... is the industry standard for budget-conscious companies” Gemini 3.5 Flash · budget prompt · first choice
“Skills Base (starting at ~$2–$2.25 per user per month with a free tier) ... are the most practical entry points.” GLM 4.7 FlashX · budget prompt · first choice
What the models said about TechWolf
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“or *TechWolf* (built for complex global structures)” Gemini 3.5 Flash · paraphrase prompt · soft negative
“Strong but can be overkill/heavier integration” DeepSeek V4 Flash · paraphrase prompt · soft negative
“at 500 employees, specialized mid-market platforms like TechWolf, 365Talents, or SkillPanel may be a better fit for speed and cost” DeepSeek V4 Flash · scale prompt · first choice
“Primary Recommendation: TechWolf + Lightcast (Open Skills) Combination” MiniMax M2.5 · paraphrase prompt · first choice
“My Top Recommendation: TechWolf or 365Talents” Kimi K2 · paraphrase prompt · first choice
Also compared
TalentGuard vs Skills BaseTalentGuard vs TechWolfSkills Base vs iMochaSkills Base vs Lightcast Open SkillsSkills Base vs 365TalentsSkills Base vs Eightfold AISkills Base vs Fuel50iMocha vs TechWolfLightcast Open Skills vs TechWolfTechWolf vs 365TalentsTechWolf vs Eightfold AITechWolf vs Fuel50All twenty-eight head-to-head pages and the full skills intelligence standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.