Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
Turn a completed debugging session or repeated user correction into a small, evidence-backed procedure.
Install Cc Skill Continuous Learning
$ npx skills add sickn33/agentic-awesome-skills --skill cc-skill-continuous-learning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills cc-skill-continuous-learning --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cc-skill-continuous-learning .claude/skills/cc-skill-continuous-learning && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "cc-skill-continuous-learning" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/cc-skill-continuous-learning into .claude/skills/cc-skill-continuous-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cc-skill-continuous-learning", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/cc-skill-continuous-learningType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill cc-skill-continuous-learning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills cc-skill-continuous-learning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cc-skill-continuous-learning .agents/skills/cc-skill-continuous-learning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cc-skill-continuous-learning" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/cc-skill-continuous-learning into .agents/skills/cc-skill-continuous-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cc-skill-continuous-learning", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill cc-skill-continuous-learning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills cc-skill-continuous-learning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cc-skill-continuous-learning .cursor/skills/cc-skill-continuous-learning && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cc-skill-continuous-learning" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/cc-skill-continuous-learning into .cursor/skills/cc-skill-continuous-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cc-skill-continuous-learning", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/cc-skill-continuous-learning--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill cc-skill-continuous-learning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills cc-skill-continuous-learning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cc-skill-continuous-learning .gemini/skills/cc-skill-continuous-learning && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cc-skill-continuous-learning" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/cc-skill-continuous-learning into .gemini/skills/cc-skill-continuous-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cc-skill-continuous-learning", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills cc-skill-continuous-learningInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill cc-skill-continuous-learning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cc-skill-continuous-learning .github/skills/cc-skill-continuous-learning && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cc-skill-continuous-learning" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/cc-skill-continuous-learning into .github/skills/cc-skill-continuous-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cc-skill-continuous-learning", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill cc-skill-continuous-learning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills cc-skill-continuous-learning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cc-skill-continuous-learning .opencode/skills/cc-skill-continuous-learning && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cc-skill-continuous-learning" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/cc-skill-continuous-learning into .opencode/skills/cc-skill-continuous-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cc-skill-continuous-learning", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
cc-skill-continuous-learning- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~1.2k tokens
- SKILL.md length
- 528 words
- Files
- 3
- Skills in repo
- 1,394
- Repo updated
- First seen
- Licence
- MIT
At a glance
Turn a completed debugging session or repeated user correction into a small, evidence-backed procedure.
- Works in 7 steps: Identify the failed assumption and final… → Check the current source and test… → State a narrow trigger and… → …
- Explicit requests to capture reusable lessons
- SKILL.md covers When to Use, Inputs and prerequisites, Procedure and Worked example, plus 2 more sections
- Runs Shell scripts from its folder; calls bash
What it does
Cc Skill Continuous Learning is an agent skill from sickn33/agentic-awesome-skills. Turn a completed debugging session or repeated user correction into a small, evidence-backed procedure. Use for explicit requests to capture reusable lessons; does not automatically extract or save memories.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `config.json` and `evaluate-session.sh`).
It sits in Development. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
When your agent uses it
- Explicit requests to capture reusable lessons
- Does not automatically extract
Example prompts
- “/cc-skill-continuous-learning”
Requirements
- Python 3
- A Bash shell
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Identify the failed assumption and final observed behavior. Keep unsuccessful hypotheses separate from the verified cause.
- Check the current source and test result. A remembered fix that was never exercised stays an open hypothesis.
- State a narrow trigger and prerequisites. Include the runtime or tool version when the fix depends on it.
- Write the smallest sequence that reproduces the diagnosis and verifies the repair. Include an expected result and a counterexample where…
- Remove secrets, user names, absolute personal paths, private messages and unrelated repository details. Prefer a minimal synthetic example…
- Compare with existing instructions. Amend an existing project note when authorized instead of creating another overlapping skill. Preserve…
- Present the draft and its evidence. Save only within the scope already authorized by the user, then read back the saved result.
What it can do on your machine
Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Shell), which the agent can run.
Shell commands in SKILL.md call:
bash
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Cc Skill Continuous Learning loads about 1.2k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 528 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 528 words, ~1,162 tokens.
Download SKILL.mdSave it as
.claude/skills/cc-skill-continuous-learning/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- cc-skill-continuous-learning
- description
- Turn a completed debugging session or repeated user correction into a small, evidence-backed procedure. Use for explicit requests to capture reusable lessons; does not automatically extract or save memories.
- risk
- none
- source
- community
- date_added
- 2026-02-27
Continuous Learning from a Completed Session
Capture one reusable lesson whose trigger, fix and verification can be explained without preserving a private conversation. The output is a reviewed procedure, not an automatic memory update.
When to Use
Use after a resolved failure, a repeated project-specific correction, or an explicit request to save what was learned. Skip one-off typos, unresolved guesses, transient provider outages and lessons already covered by project documentation. A long session alone does not make a lesson reusable.
Inputs and prerequisites
- An authorized session summary or transcript, affected code or configuration, and the command or observation that confirmed the fix.
- The scope of the lesson: this repository, this tool version, or a more general procedure.
- An existing authorized documentation destination. If saving was not requested, return a draft in the conversation; do not update user memory, install skills, or modify agent configuration automatically.
- The optional session-length helper requires Bash and Python 3. Its only setting is
min_session_lengthin config.json.
Procedure
- Identify the failed assumption and final observed behavior. Keep unsuccessful hypotheses separate from the verified cause.
- Check the current source and test result. A remembered fix that was never exercised stays an open hypothesis.
- State a narrow trigger and prerequisites. Include the runtime or tool version when the fix depends on it.
- Write the smallest sequence that reproduces the diagnosis and verifies the repair. Include an expected result and a counterexample where the procedure should not be used.
- Remove secrets, user names, absolute personal paths, private messages and unrelated repository details. Prefer a minimal synthetic example to copying a transcript.
- Compare with existing instructions. Amend an existing project note when authorized instead of creating another overlapping skill. Preserve provenance and distinguish the original observation from later generalization.
- Present the draft and its evidence. Save only within the scope already authorized by the user, then read back the saved result.
Show full SKILL.md (210 more words)Show less
Worked example
Illustrative input: a React test observed an old success message after the input changed, before new asynchronous validation completed. The fix associates each result with the exact current input; the regression changes the input and asserts that stale success disappears immediately.
Trigger: asynchronous validation results can outlive the input they describe.
Prerequisites: the component stores input and an async validation result.
Procedure: bind the result to its input; display pending state until that binding
matches; ignore results from superseded requests.
Verify: change a valid input to an invalid one while validation is pending.
Expected: no previous success is displayed; the final error belongs to the new input.
Limit: this does not establish the semantic correctness of the validation itself.Use actual project paths and test output when recording a real lesson. This is an illustrative pattern, not a claim that a particular user's test passed.
Optional session-length reminder
bash skills/cc-skill-continuous-learning/evaluate-session.sh /absolute/path/to/session.jsonlThe helper counts JSONL objects whose top-level type equals user. It prints a count and review reminder to stderr after the configured threshold. It does not extract patterns, invoke a model, create directories, or save anything. CLAUDE_TRANSCRIPT_PATH is an optional caller-supplied fallback; no host is assumed to populate it. Automatic hook integration is not configured by this skill.
Limitations
- Transcript formats differ across clients. Other message schemas need an explicit adapter; zero messages does not prove that no useful work occurred.
- The helper rejects links, non-regular files, invalid JSONL, files above 16 MiB and lines above 1 MiB. It never prints transcript contents.
- A successful length check is not a semantic review, privacy review or authorization to persist a lesson.
- Recheck version-specific lessons before reuse. Do not promote a project workaround into a universal instruction without additional evidence.
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files in skills/cc-skill-continuous-learning of sickn33/agentic-awesome-skills.
- SKILL.md
- config.json
- evaluate-session.sh
Open the folder on GitHubat commit 1e53ce2
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Cc Skill Continuous Learning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cc Skill Continuous Learning this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 24 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Greplooponyx-dot-app/onyx | 32k | 4 repos | ~3.3k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Cc Skill Continuous Learning
What does Cc Skill Continuous Learning do?
Turn a completed debugging session or repeated user correction into a small, evidence-backed procedure. Cc Skill Continuous Learning is an agent skill from sickn33/agentic-awesome-skills. Turn a completed debugging session or repeated user correction into a small, evidence-backed procedure.
When should I use Cc Skill Continuous Learning?
Cc Skill Continuous Learning fits situations like: explicit requests to capture reusable lessons; does not automatically extract.
How do I install Cc Skill Continuous Learning in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill cc-skill-continuous-learning -a claude-code`. Or copy the skill folder (skills/cc-skill-continuous-learning in sickn33/agentic-awesome-skills) into .claude/skills/cc-skill-continuous-learning in your project. Claude Code loads it when a task matches its description.
How do I install Cc Skill Continuous Learning in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill cc-skill-continuous-learning -a codex`. Or copy the skill folder (skills/cc-skill-continuous-learning in sickn33/agentic-awesome-skills) into .agents/skills/cc-skill-continuous-learning in your project. Codex loads it when a task matches its description.
Can I use Cc Skill Continuous Learning in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill cc-skill-continuous-learning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cc-skill-continuous-learning, .gemini/skills/cc-skill-continuous-learning, .github/skills/cc-skill-continuous-learning and .opencode/skills/cc-skill-continuous-learning in your project.
What does Cc Skill Continuous Learning need to run?
Going by SKILL.md and its folder, Cc Skill Continuous Learning needs a shell for the scripts in its folder and the command-line tools its instructions call (bash). Our summary lists: Python 3; A Bash shell.
Does Cc Skill Continuous Learning access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Cc Skill Continuous Learning safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Cc Skill Continuous Learning use?
Cc Skill Continuous Learning is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Cc Skill Continuous Learning use?
About 1.2k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Cc Skill Continuous Learning?
Skills that share tags, products or a category with Cc Skill Continuous Learning: Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars) and Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cc Skill Continuous Learning?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.