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Cc content session wrap

Skill clever-cc-plugins/cc-content/plugins/cc-content/skills/cc-content-session-wrap

A Claude Code plugin that provides a suite of content creation skills for marketing projects.

Install
npx -y skills add clever-cc-plugins/cc-content --skill cc-content-session-wrap

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Use this skill at the end of a content creation session to review deliverables, collect feedback, detect recurring correction patterns, and create a git commit. Invoke when the user says "wrap up", "end session", "session wrap", "wrap session", "commit session work", or "close out this session".

SKILL.md

10.9 KB, ~2.3k tokens by cl100k_base, as published. Nobody here has run it

Session Wrap Skill

You are closing out a content creation session. The goals are: (1) review what was produced, (2) collect corrections for any skills used, (3) surface recurring patterns from past learnings, (4) promote patterns if warranted, and (5) commit all session work with a clean, well-labelled message.

Step 0: Recall learnings

If .claude/learnings.md exists, read it silently. This ensures pattern detection in Step 5 operates on the most current state of the file. Do not announce this step. If the file is absent, continue normally.

Step 1: Review deliverables

Run git status to understand what changed during the session:

git status --short

If git status reports no changes:

"No changes detected in git. Would you still like to collect feedback and check for correction patterns? (yes / no)"

If the owner says no, skip to Step 5. If yes, continue but skip the file summary.

If changes exist, group them into four categories and present them:

─────────────────────────────────────────────
Session deliverables
─────────────────────────────────────────────
Context files (registered context location, e.g. context/):
  <list of modified/untracked files in the registered context location>

Deliverables (content output files):
  <list of modified/untracked files that are not in .claude/ or skill folders>

Skill files (.claude/skills/):
  <list of modified/untracked files in .claude/skills/>

Other:
  <any remaining files>
─────────────────────────────────────────────

Omit any empty categories. If all changes are in a single category, still use the labelled format so the owner sees what type of work was done.

Step 1b: Promote deliverables to context

Look at the deliverables listed in Step 1 — files that are not in the registered context location, .claude/, or skill folders.

If any deliverables were created or significantly modified, ask:

"Are any of these worth registering as context for future work? For example: a completed whitepaper, evergreen guide, or reference piece — something skills should be able to build upon later. (Name the files, or say 'none' to skip.)"

  • If the owner names files: for each one, run the promote flow inline:
    1. Read the file.
    2. Suggest a label (2–5 words) and a one-sentence summary drawn from the content.
    3. Ask: "Register as | [label] | [path] | [summary] |? (yes / edit / skip)"
    4. On yes: add the row to the appropriate ## Context files table in CLAUDE.md. If the section doesn't exist yet, create it first.
    5. Confirm: "✓ Registered [path] as context."
  • If the owner says 'none' or skips: continue to Step 2.

You can also invoke /cc-content-promote at any point during a session to register a file immediately, without waiting for session wrap.

Step 2: Identify skills used

Ask:

"Which output-format skills did you use during this session? (Examples: cc-content:cc-content-linkedin-post, other skills you may have invoked. You can list multiple, or say 'none'.)"

Wait for the response.

  • If the owner says none or gives an empty response: skip Step 3 and proceed to Step 4.
  • If the owner lists one or more skills: proceed to Step 3.

Step 3: Collect feedback per skill

For each skill the owner listed, ask:

"How did <skill-name> perform? Did the output meet expectations? If you have a correction, describe it — or press Enter to skip."

  • If the owner provides a correction: record it for the learnings step.
  • If the owner skips: note "no correction for <skill-name>" and move on.

After collecting feedback for all listed skills, proceed to Step 4.

Step 4: Append to learnings

For each correction collected in Step 3, append a tagged, dated entry to .claude/learnings.md.

First, check whether the file exists:

ls .claude/learnings.md 2>/dev/null && echo "exists" || echo "missing"

If missing, create it with a header:

# Learnings

Corrections and feedback collected during content sessions.
Entries are tagged by skill and dated.

---

Then append each correction as:

[<skill-name>] <correction summary> — <YYYY-MM-DD>

Use today's date (available from the session context: currentDate).

After all entries are appended, confirm:

"✓ <N> learning(s) saved to .claude/learnings.md."

If no corrections were collected, skip this step silently.

Step 5: Detect recurring patterns

Read .claude/learnings.md (if it exists):

cat .claude/learnings.md 2>/dev/null

Only scan entries prefixed [cc-content: — entries from other plugins are managed by their own tooling and must not be surfaced or promoted here.

Parse the filtered entries that follow the [cc-content:<skill-name>] <text> — <date> format. Group them by skill tag. For each skill tag, look for three or more entries that express semantically similar corrections — same underlying concern, even if worded differently.

Examples of semantically similar corrections:

  • "hooks are too long" / "opening line rambles" / "first two lines need to be punchier" → all about hook brevity/impact

If no skill tag has three or more similar entries: say "No recurring patterns detected." and proceed to Step 6.

If one or more patterns are detected: present each group:

─────────────────────────────────────────────
Recurring pattern detected: <skill-name>
─────────────────────────────────────────────
The following corrections appear related:
  • [<date>] <correction 1>
  • [<date>] <correction 2>
  • [<date>] <correction 3>
─────────────────────────────────────────────

For each group, ask:

"This pattern has come up <N> times. Would you like to: (a) Add a rule to <skill-name>'s format guidelines (b) Add a rule to the project CLAUDE.md (c) Dismiss — leave it in learnings for now"

Handle responses:

Option (a) — format guidelines:

Ask: "How should I phrase the rule? (Or describe the correction and I'll draft it.)"

Determine the skill's format guidelines path. For cc-content:cc-content-linkedin-post, the format guidelines file is at ${CLAUDE_SKILL_DIR}/../cc-content-linkedin-post/format-guidelines.md (relative to this skill's directory). For other skills, look for a format-guidelines.md inside the skill's directory.

Read the file, then append the new rule under an appropriate existing section or create a new ## Promoted Rules section at the bottom.

Confirm: "✓ Rule added to <path>."

Option (b) — CLAUDE.md:

Ask: "How should I phrase the rule in CLAUDE.md? (Or describe it and I'll draft it.)"

Read CLAUDE.md, locate the ## Learnings section, and append the rule there. If no ## Learnings section exists, add it before appending.

Confirm: "✓ Rule added to CLAUDE.md."

Option (c) — dismiss:

Say: "Pattern noted but not promoted. It will remain in .claude/learnings.md for future reference."

Process all detected patterns before moving on.

Step 6: Commit

Check for files to commit:

git status --short

If nothing to commit, say: "Nothing to commit — session is clean." and close with the summary in Step 7.

If there are changes, stage them explicitly. Do NOT use git add -A or git add .. Instead, list each file that should be committed:

Ask:

"I'll stage the following files for this commit: <list of modified/untracked files from the session, excluding any .env or secrets/ patterns>

Shall I proceed? (yes / no / edit the list)"

  • Yes: stage each file individually, then continue.
  • No: skip the commit step and close with Step 7.
  • Edit: ask which files to add or remove, update the list, show it again.

After staging, propose a commit message following Conventional Commits with gitmoji.

Use the session changes to determine the type:

Change typeConventional Commits prefixGitmoji
New content deliverablesfeat
Context file updates (brand voice, etc)feat or docs📝
Skill files added or updatedfeat
Learnings / corrections onlydocs📝
Mixed sessionfeat
Bug fix or correction to existing filefix🐛

Present the proposed message:

─────────────────────────────────────────────
Proposed commit message
─────────────────────────────────────────────
<gitmoji> <type>: <short description>

<optional body with bullet points if multiple distinct changes>
─────────────────────────────────────────────

Ask: "Shall I commit with this message? (yes / edit / skip)"

  • Yes: run the commit.
  • Edit: ask for the owner's preferred message, then commit with that.
  • Skip: say "Commit skipped. Files are staged but not committed."

After a successful commit, show the commit hash:

"✓ Committed: <hash><first line of commit message>"

Step 7: Session summary

Close with a brief summary:

─────────────────────────────────────────────
Session complete
─────────────────────────────────────────────
Deliverables reviewed:   <N files>
Learnings logged:        <N entries (or "none")>
Patterns promoted:       <N (or "none")>
Committed:               <hash> (or "not committed")
─────────────────────────────────────────────

Then say:

"Session wrapped. Run /cc-content-session-wrap again at the end of your next session."

Gives 1 of the 12 instructions most pr commit review skills give in ~2.3k tokens

Counted across 888 of the 1,342 authors here whose files we hold, read 2026-08-07

  • use conventional commits formatin 127 of 888, across 115 files
  • keep subject line under 72 charactersin 62 of 888, across 48 files
  • delete branches after mergein 51 of 888, across 38 files
  • use imperative mood in subject linein 51 of 888, across 42 files
  • use imperative mood in commit messagesin 44 of 888
  • verify directory is ignored before creating worktreein 43 of 888, across 12 files
  • generate a conventional commit messagehere, and in 43 of 888
  • add unignored worktree directories to gitignorein 42 of 888, across 10 files
  • make atomic commitsin 39 of 888, across 27 files
  • run tests before committingin 36 of 888, across 25 files
  • verify clean test baselinein 35 of 888, across 9 files
  • split unrelated changes into separate commitsin 35 of 888, across 30 files

Said here and by no other author read

  • read learnings file silently if it exists
  • group changed files by category for review
  • promote deliverables to context if requested
  • ask which output-format skills were used
  • collect corrections for each skill used
  • append corrections to learnings file with date

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.