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Profile Dreamer

  • 1 installs
  • 3 repo stars
  • Updated July 5, 2026
  • yinjialu/context-harness

Reviews archived context-harness conversations and proposes durable memory/profile updates for user confirmation before writing them.

About

Reads context-harness conversation archives and extracts durable signals (preferences, projects, working style) into a reviewable add/update/deprecate proposal. A developer uses it to refresh their personal memory/profile from past agent conversations.

  • Groups proposed changes by add/update/strengthen/deprecate
  • Waits for confirmation before writing memory files

Profile Dreamer by the numbers

  • 1 all-time installs (skills.sh)
  • Ranked #2,479 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
  • Data as of Jul 8, 2026 (Skillselion catalog sync)
npx skills add https://github.com/yinjialu/context-harness --skill profile-dreamer

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Listed on Skillselion
Installs1
repo stars3
Last updatedJuly 5, 2026
Repositoryyinjialu/context-harness

What it does

Reviews archived context-harness conversations and proposes durable memory/profile updates for user confirmation before writing them.

Files

SKILL.mdMarkdownGitHub ↗

Profile Dreamer

Use this skill to review archived conversations and propose memory/profile updates. The skill can bootstrap the CLI runtime even when only the skill was installed.

Runtime Bootstrap

Before using local context-harness files or commands, execute the bundled bootstrap script from this skill directory:

runtime_dir="$(bash scripts/bootstrap.sh)"
cd "$runtime_dir"

The script clones or updates the runtime repository at ~/.local/share/context-harness by default, checks out v0.1.7, and runs uv sync.

Overrides:

  • CONTEXT_HARNESS_RUNTIME_DIR: custom runtime checkout path.
  • CONTEXT_HARNESS_REPO_URL: custom fork URL.
  • CONTEXT_HARNESS_REF: custom branch, tag, or commit.
  • CONTEXT_HARNESS_BOOTSTRAP_SKIP_UPDATE=1: skip fetch/pull.

Workflow

1. Run the Runtime Bootstrap steps above so the local CLI/templates are available. 2. Resolve the context home from CONTEXT_HARNESS_HOME, the user's explicit path, or ~/.context-harness. 3. Read:

  • state/dream-state.json
  • global-claude.md
  • memory/user_profile.md
  • new or changed files under conversations/

4. Extract durable signals:

  • identity changes
  • technical preferences
  • recurring working style
  • active projects
  • writing/content direction
  • explicit instructions for AI agents

5. Present a reviewable proposal grouped by add/update/strengthen/deprecate. 6. Wait for user confirmation before writing memory files. 7. After confirmation, update:

  • global-claude.md
  • memory/user_profile.md
  • logs/dream.md
  • state/dream-state.json

Do not silently rewrite memory/profile files.

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