dream
dream is a Product strategy & roadmaps skill for AI agents, published by real-simple-labs in the parker-brain repository on GitHub. Skillspace rates dream D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Parker's dreaming run for the brand and the person using it — the planning half of the living layer. Reads the day's comms (the conversations the user had with Parker first, then any connected comms) against the vault and returns proposals across six buckets — context updates, skill improvements, schedules to create, new ideas to research, new open loops, and the person (what Parker now understands about them and what to tee up for them) — into dreaming/proposals/pending. Captures verbatim; proposes, never applies; promotion runs through self-improve with the human in the loop. Use daily as a scheduled routine, or when asked to "dream", brainstorm overnight, or "what were you thinking about".
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 31
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
- 95 / 100
- Maturity
- Basic: a single SKILL.md
- 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
- Category is a classifier prediction; no model has read this skill 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.