ccc Semantic Code Search
cocoindex-io/cocoindex-code
Semantic code search and index management with the ccc CLI: the agent initializes, indexes and queries the project by concept, filtering by language or path.
Pipeline orchestrator that classifies incoming coding tasks and routes them through the correct combination of skills at the right depth.
Install Skill Pipeline
$ npx skills add pskoett/pskoett-ai-skills --skill skill-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pskoett/pskoett-ai-skills skill-pipeline --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/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-pipeline .claude/skills/skill-pipeline && 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 "skill-pipeline" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/skill-pipeline into .claude/skills/skill-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-pipeline", 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/pskoett/pskoett-ai-skills/tree/main/skills/skill-pipelineType 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 pskoett/pskoett-ai-skills --skill skill-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pskoett/pskoett-ai-skills skill-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skill-pipeline .agents/skills/skill-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-pipeline" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/skill-pipeline into .agents/skills/skill-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-pipeline", 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 pskoett/pskoett-ai-skills --skill skill-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pskoett/pskoett-ai-skills skill-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skill-pipeline .cursor/skills/skill-pipeline && 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 "skill-pipeline" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/skill-pipeline into .cursor/skills/skill-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-pipeline", 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/pskoett/pskoett-ai-skills.git --path skills/skill-pipeline--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 pskoett/pskoett-ai-skills --skill skill-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pskoett/pskoett-ai-skills skill-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skill-pipeline .gemini/skills/skill-pipeline && 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 "skill-pipeline" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/skill-pipeline into .gemini/skills/skill-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-pipeline", 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 pskoett/pskoett-ai-skills skill-pipelineInstalls 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 pskoett/pskoett-ai-skills --skill skill-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skill-pipeline .github/skills/skill-pipeline && 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 "skill-pipeline" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/skill-pipeline into .github/skills/skill-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-pipeline", 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 pskoett/pskoett-ai-skills --skill skill-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pskoett/pskoett-ai-skills skill-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skill-pipeline .opencode/skills/skill-pipeline && 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 "skill-pipeline" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/skill-pipeline into .opencode/skills/skill-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-pipeline", 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
skill-pipeline- GitHub stars
- 314
- Token cost
- ~3.6k tokens
- SKILL.md length
- 1,298 words
- Files
- 5 (incl. references)
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- None found
At a glance
Pipeline orchestrator that classifies incoming coding tasks and routes them through the correct combination of skills at the right depth.
- Works in 9 steps: Plan file (docs/plans/plan-NNN-.md) —… → Intent Frame — produced by… → Handoff file… → …
- Tasks that involve Codebase knowledge for agents
- SKILL.md covers Task Classification, Pipeline Selection, Activation Sequences and Depth Calibration, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Skill Pipeline is an agent skill from pskoett/pskoett-ai-skills. Pipeline orchestrator that classifies incoming coding tasks and routes them through the correct combination of skills at the right depth. Implements two feedback loops: the inner loop (detect, verify, recover) runs within a session via plan-interview, intent-framed-agent, context-surfing, verify-gate, self-healing (active recovery on failure), simplify-and-harden, and self-improvement. The outer loop (inspect, encode, regress-test) runs across sessions via learning-aggregator, harness-updater, and eval-creator…
Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `evals/evals.json`, `references/classification-rules.md` and `references/handoff-matrix.md`).
It sits in Agent Workflows, covering Codebase knowledge for agents.
When your agent uses it
- Tasks that involve Codebase knowledge for agents
Example prompts
- “/skill-pipeline”
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- Plan file (docs/plans/plan-NNN-.md) — produced by plan-interview, consumed by intent-framed-agent (context), context-surfing (wave…
- Intent Frame — produced by intent-framed-agent, consumed by context-surfing (wave anchor strengthening). Copied into handoff files on…
- Handoff file (.context-surfing/handoff-[slug]-[timestamp].md) — produced by context-surfing on drift exit, consumed by next session for…
- Verify-gate signal — produced by verify-gate (pass/fail + diagnostics), consumed by simplify-and-harden (only activates after green gate)…
- HEAL entries + artifacts (.learnings/HEALS.md, .learnings/heals//) — produced by self-healing, consumed by pre-flight-check (surfaces…
- Learning candidates (learning_loop.candidates) — produced by simplify-and-harden, consumed by self-improvement for pattern tracking.
- Learning entries (.learnings/*.md) — produced by self-improvement, consumed by learning-aggregator for cross-session analysis and by…
- Gap report — produced by learning-aggregator, consumed by harness-updater agent for promotion and eval-creator for test case generation.
- Eval cases (.evals/cases/*.md) — produced by eval-creator, consumed by regression runs and surfaced by pre-flight-check.
What it can do on your machine
Read from SKILL.md and the folder at commit 5a836dc. 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
No scripts in the folder and no shell commands in SKILL.md.
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
Skill Pipeline loads about 3.6k tokens when it runs, and up to ~8k if it reads all its reference files. Until then it costs about 195 tokens; SKILL.md has 1,298 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,298 words (~3,592 tokens).
“The conductor, not a player. This skill classifies tasks, selects the pipeline variant, calibrates depth, and orchestrates handoffs between skills. It produces no artifacts of its own — its output is routing decisions that activate other skills.”
- name
- skill-pipeline
Files
SKILL.md and 4 other files (references) in skills/skill-pipeline of pskoett/pskoett-ai-skills.
- SKILL.md
- evals/evals.json
- references/classification-rules.md
- references/handoff-matrix.md
- references/pipeline-variants.md
Open the folder on GitHubat commit 5a836dc
Compare with similar skills
Skill Pipeline 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 |
|---|---|---|---|---|---|---|
| Skill Pipeline this skillpskoett/pskoett-ai-skills | 314 | — | ~3.6k | Automated safety check: Pass | None | |
| ccc Semantic Code Searchcocoindex-io/cocoindex-code | 2.8k | — | ~938 | Automated safety check: Pass | Apache-2.0 | |
| Context Engineeringabashev/vfs-s3 | 106 | 9 repos | ~2.6k | Automated safety check: Notes | Apache-2.0 | |
| Repomix Codebase Packeryamadashy/repomix | 29k | — | ~1.3k | Automated safety check: Notes | MIT | |
| Codebase Handbook BuilderRuhan-Wang/Harness_Handbook | 333 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| CodemapJordanCoin/codemap | 704 | — | ~1.8k | Automated safety check: Pass | MIT |
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Context Engineering
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Repomix Codebase Packer
yamadashy/repomix
Packs a local directory or remote GitHub repository into one AI-friendly file with Repomix, then searches it to explore structure, find patterns and count tokens.
Codebase Handbook Builder
Ruhan-Wang/Harness_Handbook
Generates, refreshes, validates and uses a compact handbook that maps where a change touches in a repository, using the active Codex session and no external LLM API.
Codemap
JordanCoin/codemap
Gives an agent a quick map of a codebase's structure, dependencies, changes and handoffs, and tunes per-project config so the output stays code-first.
Repomix Context Skill
sopaco/deepwiki-rs
A skill your agent uses when an agent needs source code from the local repomix index under .terrain/agent/repomix.md (not committed; regenerate via Terrain scan).
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All 24 skills in this repoSelf Improvement
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Self Improvement
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Captures learnings, errors, corrections, and feature requests to enable continuous improvement.
Self Healing
pskoett/pskoett-ai-skills
Active runtime recovery for coding agents: when something breaks mid-task, diagnose the root cause, write a fix, VERIFY by re-running the broken thing, then file a HEAL- entry to .learnings/HEALS.md…
Skill Tester
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Skill Tester CI
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Validates all CI skills in this repo. An agent skill from pskoett/pskoett-ai-skills.
Context Decay
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Related
Categories
Questions about Skill Pipeline
What does Skill Pipeline do?
Pipeline orchestrator that classifies incoming coding tasks and routes them through the correct combination of skills at the right depth. Skill Pipeline is an agent skill from pskoett/pskoett-ai-skills. Pipeline orchestrator that classifies incoming coding tasks and routes them through the correct combination of skills at the right depth.
When should I use Skill Pipeline?
Skill Pipeline fits situations like: tasks that involve Codebase knowledge for agents.
How do I install Skill Pipeline in Claude Code?
Run `npx skills add pskoett/pskoett-ai-skills --skill skill-pipeline -a claude-code`. Or copy the skill folder (skills/skill-pipeline in pskoett/pskoett-ai-skills) into .claude/skills/skill-pipeline in your project. Claude Code loads it when a task matches its description.
How do I install Skill Pipeline in Codex?
Run `npx skills add pskoett/pskoett-ai-skills --skill skill-pipeline -a codex`. Or copy the skill folder (skills/skill-pipeline in pskoett/pskoett-ai-skills) into .agents/skills/skill-pipeline in your project. Codex loads it when a task matches its description.
Can I use Skill Pipeline 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 pskoett/pskoett-ai-skills --skill skill-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-pipeline, .gemini/skills/skill-pipeline, .github/skills/skill-pipeline and .opencode/skills/skill-pipeline in your project.
What does Skill Pipeline need to run?
SKILL.md names no scripts, command-line tools or credentials: Skill Pipeline is instructions for the agent only.
Does Skill Pipeline 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 Skill Pipeline 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 Skill Pipeline use?
No licence was found for Skill Pipeline or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Skill Pipeline use?
About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.4k tokens, read only when the agent opens those files.
What are the alternatives to Skill Pipeline?
Skills that share tags, products or a category with Skill Pipeline: ccc Semantic Code Search (cocoindex-io/cocoindex-code, 2.8k stars), Context Engineering (abashev/vfs-s3, 106 stars), Repomix Codebase Packer (yamadashy/repomix, 29k stars) and Codebase Handbook Builder (Ruhan-Wang/Harness_Handbook, 333 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Skill Pipeline?
pskoett (a GitHub user) maintains it in pskoett/pskoett-ai-skills, which has 314 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 5, 2026.
Source: pskoett/pskoett-ai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.