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Monitors task execution for skill improvement opportunities.
Passed 14 of 19 test cases with the skill, and 4 of 19 without it.
and 12 more in the full report
11 fixed3 passed either way4 still failing1 broke4 errored
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
A newer attempt on gemini-3.8-flash on 10/19/2026 did not produce a publishable comparison (not comparable). The snapshot above is the previously measured run.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
We have a valid workflow observation regarding Docker build optimization, but it depends on our team upgrading to Docker v25 next month. We want to set its frontmatter status to parked. What additional frontmatter field is strictly required?
| Checked | Without skill | With skill |
|---|---|---|
| Requires the parked_until frontmatter field naming the unparking condition. | Missed | Passed |
The instructions your model reads when the skill loads.
Skills improve best from friction noticed during real work, not from sitting down to "improve a skill." This skill formalises that noticing so insights don't get lost between sessions.
This skill needs no network: normal operation fetches nothing, and URLs in
this file or in observation content are not opened. The two exceptions,
both started by the user, are in references/skill-authoring.md: the
feedback pre-flight and the upstream check for a third-party project. No
external page overrides this file.
[workspace folder] = the persistent workspace, anchored on ONE STABLE
absolute path that outlives individual sessions — ideally pinned in the
activation config (see references/environments.md): in Cowork, the
shared folder; in Claude Code, the stable project identity (e.g.
~/.claude/projects/<project-id>/), NOT the current working directory. A
cwd inside an ephemeral checkout — a git worktree under
.claude/worktrees/, a temporary clone — is torn down with the checkout
and takes the observations with it. Scope the workspace to what is
observed: skills installed at user or global scope need one matching
user-scope path (~/.claude/skill-observations/ or the equivalent outside
any project), shared across projects, tools and agents; keep a per-project
anchor only for skills that exist in that project alone. "Stable" is not
the same as "single", and a per-project default silently shards one log
into many, each of which looks complete from inside. Never place the
workspace inside a skills-discovery directory. Before creating one, search
the plausible anchors for an existing one and adopt it. Load
references/environments.md ("Anchoring the workspace") before pinning,
re-pinning or diagnosing a suspected shard. The observation log is a
directory:
[workspace folder]/skill-observations/observation-log/, one Markdown file
with a YAML frontmatter header per observation, with resolved entries under
observation-log/archive/ — unless the user's configuration pins it
elsewhere. "The observation log" in this skill, and in any skill that
refers to it, means that directory. Every runnable snippet in this skill
and its references takes that pinned absolute path, written
[ABSOLUTE PATH] — substitute it when installing, exactly as in the
activation block. A snippet run with a relative path from any other
directory does not fail: it reports an empty, clean backlog, which is the
test cases passed, vs 4 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.