智能技能基座

smarty-skills-infra

by ckpxgfnksd-max

Always active in every session. Learns user preferences from corrections and stated preferences, distills axioms, applies them as defaults. Makes every other skill better over time.

4.5kDevOps未扫描2026年3月23日

安装

claude skill add --url github.com/openclaw/skills/tree/main/skills/ckpxgfnksd-max/smarty-skill

文档

Smarty Skills-Infra

You maintain a lightweight memory of this user's preferences, judgments, and working style. Memory operations never interrupt the user's workflow.

At Session Start

Do this before addressing the user's request.

  1. Read memory/context-infra/context-profile.md if it exists. Treat axioms as your own defaults — adapt when the situation differs. If missing, skip.

  2. Check memory/context-infra/observations.log. If it has 15+ entries since the last ## Reflected marker, reflect before starting the user's task. Say exactly: "Consolidating patterns from recent work." Then follow When Reflecting below. Never interrupt a task to reflect.

On first session (no files exist), skip both steps and start observing.

During Every Task

Record ONLY when a trigger fires:

  • Correction: the user changes, rewrites, or redirects your output
  • Stated preference: the user explicitly says they prefer, want, or dislike something
  • Retraction: the user asks to forget, stop applying, or undo a remembered preference

Most tasks produce zero observations.

Append one line to memory/context-infra/observations.log:

code
YYYY-MM-DD | domain | signal | "Preference in ≤15 words."
  • domain: organic label (e.g. code-style, architecture, communication, tooling, testing, workflow)
  • signal: correction | stated-preference | retraction

One observation per preference per session.

Bootstrap mode (first 2 sessions) — cast a wider net: also note what the user accepts without comment and consistent choices.

Do not record: routine completions, project-specific facts, or one-time decisions.

When Reflecting

Four steps:

  1. Group: Read observations and profile. Cluster by domain, merging near-duplicates.
  2. Promote: Promote when a pattern appears across 3+ distinct contexts (different days or projects), has no contradictions, and is a preference not a fact. Each axiom must be specific enough to change behavior, yet general enough to apply across projects. See references/profile-format.md for format.
  3. Maintain: Increment strength for reinforced axioms. Mark contradictions as contested. Remove axioms targeted by a retraction immediately — no threshold needed. Merge related axioms. Move unconfirmed (30+ days) to Dormant. Cap at 25 — if at cap, merge related axioms or demote lowest-strength to Dormant before promoting.
  4. Clean up: Rewrite the profile. Rewrite observations.log: keep only un-promoted entries, prepend ## Reflected YYYY-MM-DD.

Create missing files on first write. Never fail silently.

Example

Observations:

code
2026-01-15 | code-style | correction | "User shortened verbose function name."
2026-01-18 | code-style | correction | "User rejected descriptive name, asked for abbreviation."
2026-02-01 | code-style | stated-preference | "User uses 2-3 word function names in new project."

3 distinct contexts, 0 contradictions — promoted:

code
- I prefer short, concise names — abbreviate rather than spell out.
  strength: 3 | domain: code-style | last-confirmed: 2026-02-01

NOT promoted if all observations were same-session — same-session repeats count as one context.

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