context-building
context-building is a Memory stores & recall skill for AI agents, published by extruct-ai in the gtm-skills repository on GitHub. Skillspace rates context-building D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Build and maintain a global company context file that all other GTM skills read from. Captures product info, voice rules, ICP, win cases, proof library, campaign history, hypotheses, and DNC lists. Supports four modes: create (new context), update (append to existing), call recording capture (extract signals from transcripts), and feedback loop (import campaign results). Triggers on: "company context", "update context", "build context", "ICP", "win cases", "campaign history", "call recording", "feedback loop", "DNC list".
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 102
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 81 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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