Distill session insights into rules, skill improvements, recipes, and cross-repo promotions to marketplace plugins. Use when capturing learnings, codifying workflow into .claude/rules, or promoting a session-invented pattern into a specific plugin/skill as a PR.
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.
Distill session insights into rules, skill improvements, recipes, and cross-repo promotions to marketplace plugins. Use when capturing learnings, codifying workflow into .claude/rules, or promoting a session-invented pattern into a specific plugin/skill as a PR.
Distill session insights into reusable project knowledge.
When to Use This Skill
Use this skill when...
Use alternative when...
End of session, want to capture learnings
Full end-of-session pass (wrap + distill + feedback) -> session-plugin:session-end
Discovered a project pattern worth codifying
Capturing loose threads to taskwarrior -> session-plugin:session-wrap
Want learnings as rules/recipes in this repo
Need to write a blog post -> /blog:post
Discovered a pattern worth reusing
Need to analyze git history for docs gaps -> /git:log-documentation
Found a CLI workflow worth saving as a recipe
Need to configure a justfile from scratch -> /configure:justfile
Want to update rules based on session experience
Need to check project infrastructure -> /configure:status
Asked to "codify the workflow" or "analyze and promote session patterns to rules"
Need a one-off implementation, not a reusable rule -> implement directly
A pattern is reusable beyond this repo and belongs in a shared plugin/skill
The learning is project-specific -> keep it in this repo's .claude/rules
The session invented a technique with no home skill yet, or one a named plugin's skill is missing
Reporting friction/errors for triage -> feedback-plugin:feedback-session (the error loop)
May also be reached via the end-of-session flow: the plugin's Stop hook (hooks/session-end-nudge.sh) offers session-plugin:session-end once per session on user wind-down, and the orchestrator runs this skill when a durable learning qualifies.
Core Principle: Update Over Add
Before proposing any artifact, evaluate: Does it update an existing one? Does an existing one already cover this? Is this genuinely new and reusable? See REFERENCE.md for detailed evaluation criteria.
Only analyze potential process/methodology captures (script+recipe or project-local .claude/skills/ skill)
--all
Analyze all categories (default)
--dry-run
Show proposals without applying changes
Tool Call Efficiency
Minimize LLM round-trips: batch file reads in a single response, combine evaluation and redundancy checking in one pass, complete one category before starting the next.
Execution
Execute this session distillation workflow:
Step 1: Run the distill collector, then read conversation for rules
Run the read-only collector — the distill-side analogue of session-survey.sh.
It mines this session's transcript (and the cross-session window) for the
mechanical signals, so you don't re-read the whole conversation for
commands/edits or re-run just --dump from memory:
RECIPE_CANDIDATES — normalized commands that recurred across separate
sessions or are commit-bracketed this session, and are NOT already a just
recipe or churn (status/diff/log/test/build/ls/…). Each carries a
concrete _FIRST example, _SESSIONS count, and _NOVEL_TOKENS.
HOT_FILES — the files this session edited/wrote most (exact paths) — where
rule/doc updates likely land.
COMMIT_INTERVALS + COMMAND_DIGEST — the mechanical grouping you use to
name a process or sequence. The script never infers a sequence itself
(sequence-naming is judgment); it hands you completed-work intervals.
RULE_HINTS_FROM_TOOLING — repeated permission/auth denials, the only
mechanical rule signal.
When TRANSCRIPT_AVAILABLE=false / STATUS=SKIP (fresh clone, remote sandbox,
mid-conversation flush, or no --session-id), fall back to reading the
conversation history directly for commands and edits.
Durable rules live in conversation reasoning, not tool_use mining. For
the rules category always read the conversation's decisions, corrections, and
constraints yourself — the collector deliberately does not pre-compute rules
beyond the narrow RULE_HINTS_FROM_TOOLING denial signal.
Step 2: Evaluate and check redundancy (single pass per category)
When --all: complete rules -> skills -> recipes/process. Do not interleave.
Rules (.claude/rules/*.md): from the conversation reasoning (plus any
RULE_HINTS_FROM_TOOLING signal), Glob rule files and Read only the subset
the learning touches — the HOT_FILES paths and the rules adjacent to them —
then evaluate each insight in one pass (update/skip/remove/merge/add). Do not
glob-read every rule when the collector already narrowed the surface.
Skills: Glob relevant skill files (target specific plugins from Step 1),
Read in one response, evaluate in one pass.
Recipes / process: the collector already ran just --dump, so
RECIPE_CANDIDATES are already novel (not existing recipes). Route each per the
destination table — a recurring single
command → a just recipe; a multi-step workflow → a script or a project-local
skill (see --process).
Step 3: Present proposals
Categorize as: [UPDATE], [SKIP], [NEW], [REDUNDANT], or [PROMOTE] with file paths and reasons.
[PROMOTE] is the additive, cross-repo category — distinct from the others,
which all write this repo's .claude/. Use it when the insight is reusable
beyond this repo and belongs in a marketplace plugin: either a pattern the
session invented that has no home skill yet (→ propose a new skill), or a
capability an existing named skill is missing (→ propose an edit to it). A
[PROMOTE] does not require anything to have gone wrong — a smooth session that
produced a strong reusable technique is exactly its trigger. Each [PROMOTE]
names a target <plugin>/skills/<skill> (new or existing) and is applied as a
PR against the plugin repo, never an edit to the current repo (see
Cross-Repo Promotion).
Step 4: Apply changes
If --dry-run: skip this step.
In auto mode: apply proposals directly without per-category AskUserQuestion. All targets are reversible via git restore — rule files, skill files, and justfile recipes are tracked in git, so a wrong edit can be undone with one command. This matches auto mode's "prefer action over planning" directive. Retain AskUserQuestion for destructive operations ([REDUNDANT] proposals that remove a rule or recipe).
In manual / interactive mode: use AskUserQuestion to confirm each category before applying. The user can multi-select which [UPDATE] / [NEW] proposals to accept.
In plan mode: neither default applies — the harness disallows non-readonly tool calls (including AskUserQuestion-then-apply) except writes to the active plan file. Write the proposal set to the active plan file as a single coherent block (Context + per-category [UPDATE] / [NEW] / [REDUNDANT] sections + a brief verification section), then call ExitPlanMode to surface for user approval. Do not apply directly. After the user approves the plan, fall back to the auto-mode or manual-mode flow above depending on which is active.
For [PROMOTE] proposals, do not edit the current repo. Apply them via the
cross-repo PR hand-off below — gate it behind AskUserQuestion in every mode
(opening a PR against another repo is outward-facing), and never push to that
repo's default branch.
Step 5: Report summary
Output concise summary of changes made, including any [PROMOTE] PRs opened
(with their URLs) so the promotion is traceable.
Routing a learning to a destination
Each surviving insight goes to exactly one home. Pick most-specific first — a
new artifact type was deliberately not added (no .claude/runbooks/); a
project-local process reuses the .claude/skills/ convention CLAUDE.md
documents as a first-class, auto-loaded home.
The learning is…
Destination
Proposal tag
A convention/constraint that prevents mistakes
.claude/rules/<name>.md
[UPDATE] / [NEW]
A recurring single command with fixed flags (a RECIPE_CANDIDATE)
a just recipe
[UPDATE] / [NEW]
A deterministic multi-step workflow (no decision points)
scripts/<name>.sh + a thin just recipe wrapping it
[NEW]
A multi-step process with decision points, project-local
a project-local .claude/skills/<name>/SKILL.md (auto-loaded, no marketplace entry — see the repo's CLAUDE.md)
[NEW]
Reusable beyond this repo
a marketplace plugin/skill via PR
[PROMOTE]
The --process category covers the two multi-step rows: a deterministic
workflow becomes scripts/*.sh + a recipe (offload to a deterministic
substrate); a judgment-bearing one becomes a project-local skill. Name the
sequence yourself from COMMIT_INTERVALS / COMMAND_DIGEST — the collector
gives you the grouping, not the name.
Cross-Repo Promotion ([PROMOTE])
The other categories keep knowledge in this repo. [PROMOTE] is how a
session-invented pattern reaches the shared plugin marketplace so every repo
benefits — the additive complement to feedback-plugin's error loop (which only
fires on friction). A near-zero-friction session can still produce several
[PROMOTE] candidates.
Routing: which plugin/skill should own it
Pick the target by the pattern's domain, most specific first:
Pattern is about…
Likely owner
A language/tool's build/test/lint (cargo, uv, biome…)
that language plugin (rust-plugin, python-plugin, …)
propose a new skill in the closest plugin and flag the routing choice for review
Then decide new skill vs. edit existing: glob the owner plugin's skills/,
read the closest few, and prefer extending an existing skill (a new section +
cross-link) over a new skill unless the pattern is genuinely its own topic
(Update Over Add still applies — across repos now).
The PR hand-off (isolated clone — never edit cwd, never push to default)
The plugin source lives in its own repo. Open a PR there; the human reviews and
merges. Match the repo's conventions: skills are auto-discovered (add
skills/<name>/SKILL.md with dated frontmatter + user-invocable/allowed-tools),
update the plugin README's skill catalog, keep !-context commands free of pipes/
redirects, use a conventional commit (feat(<plugin>): for a new skill,
docs(<plugin>): for an edit — release-please versions from it), and apply the
<plugin> routing label (create it if missing).
Do the whole promote in a throwaway clone, never in a long-lived local
checkout of the plugins repo. That checkout is frequently contended by a
concurrent Claude session: a coworker's operation can autostash your in-flight
edit and move HEAD between two of your calls, so the next git add/commit
reports "nothing to commit, working tree clean" and the edit is silently gone
(issue #2113). A fresh clone shares no .git with that checkout, so no coworker
can move HEAD under it. git worktree add is not equivalent — it
registers in the shared checkout's .git and was itself observed failing
(already used by worktree) once HEAD had moved.
Remove the throwaway (rm -rf "$WORK") only after the PR URL is in hand — it is
the only copy of the work until the push lands.
Cross-references for the shared-checkout hazard this avoids:
repos/.claude/rules/shared-checkout-branch-isolation.md (the
git log --oneline origin/main..HEAD verification above — a branch must contain
only your own commits before you push), repos/.claude/rules/concurrent-session-pr-check.md
(before recreating work that "vanished", check whether a peer session already
opened a PR for it — never pop a shared stash), and git-plugin:git-coworker-check
(run it before any operation that genuinely must touch a shared checkout).
The PR body should cite the session as evidence (what the pattern is, why it's
reusable, where it was used) — the additive analogue of the friction loop's
evidence summary.
Agentic Optimizations
Context
Command
Distill collector (recipe candidates + hot files + process groupings)
