Speculative Naming
sgl-project/sglang
Naming conventions for SGLang speculative decoding identifiers.
A pipeline execution strategy where downstream stages start before upstream stages finish, using staggered timing with configurable delays.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill speculative-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins speculative-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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/JuliusBrussee/blueprint/skills/speculative-pipeline .claude/skills/speculative-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 "speculative-pipeline" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/JuliusBrussee/blueprint/skills/speculative-pipeline into .claude/skills/speculative-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speculative-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/hashgraph-online/awesome-codex-plugins/tree/main/plugins/JuliusBrussee/blueprint/skills/speculative-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 hashgraph-online/awesome-codex-plugins --skill speculative-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins speculative-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/JuliusBrussee/blueprint/skills/speculative-pipeline .agents/skills/speculative-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 "speculative-pipeline" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/JuliusBrussee/blueprint/skills/speculative-pipeline into .agents/skills/speculative-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speculative-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 hashgraph-online/awesome-codex-plugins --skill speculative-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins speculative-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/JuliusBrussee/blueprint/skills/speculative-pipeline .cursor/skills/speculative-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 "speculative-pipeline" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/JuliusBrussee/blueprint/skills/speculative-pipeline into .cursor/skills/speculative-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speculative-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/hashgraph-online/awesome-codex-plugins.git --path plugins/JuliusBrussee/blueprint/skills/speculative-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 hashgraph-online/awesome-codex-plugins --skill speculative-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins speculative-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/JuliusBrussee/blueprint/skills/speculative-pipeline .gemini/skills/speculative-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 "speculative-pipeline" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/JuliusBrussee/blueprint/skills/speculative-pipeline into .gemini/skills/speculative-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speculative-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 hashgraph-online/awesome-codex-plugins speculative-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 hashgraph-online/awesome-codex-plugins --skill speculative-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/JuliusBrussee/blueprint/skills/speculative-pipeline .github/skills/speculative-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 "speculative-pipeline" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/JuliusBrussee/blueprint/skills/speculative-pipeline into .github/skills/speculative-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speculative-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 hashgraph-online/awesome-codex-plugins --skill speculative-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 hashgraph-online/awesome-codex-plugins speculative-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/JuliusBrussee/blueprint/skills/speculative-pipeline .opencode/skills/speculative-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 "speculative-pipeline" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/JuliusBrussee/blueprint/skills/speculative-pipeline into .opencode/skills/speculative-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speculative-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.
speculative-pipelineA pipeline execution strategy where downstream stages start before upstream stages finish, using staggered timing with configurable delays.
Speculative Pipeline is an agent skill from hashgraph-online/awesome-codex-plugins. A pipeline execution strategy where downstream stages start before upstream stages finish, using staggered timing with configurable delays. The leader begins first, and followers start after a delay, building from whatever partial output exists. Combined with convergence loops, early follower output self-corrects as upstream artifacts solidify. Cuts total pipeline time dramatically -- a 3-stage pipeline that takes 12 hours sequentially can finish in roughly 7 hours with speculative-pipeline staggering. Triggers…
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 3e1456a. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Speculative Pipeline loads about 2.9k tokens when it runs. Until then it costs about 165 tokens; SKILL.md has 1,188 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.
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.
The full file from hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its Apache-2.0 licence (© hashgraph-online). 1,188 words, ~2,929 tokens.
.claude/skills/speculative-pipeline/SKILL.md (or your agent's skills folder).Run pipeline stages with staggered timing instead of sequentially. The leader starts first; followers start after a configurable delay and build from whatever upstream output exists at that point. Combined with convergence loops, followers self-correct as upstream artifacts arrive and stabilize.
Start downstream work early with partial upstream output. Convergence loops correct the errors introduced by working from incomplete input.
The insight is that waiting for perfect upstream output is wasteful. A follower working from 80% of the upstream artifacts will produce output that is ~60-70% correct on the first pass. But with convergence loops running, the follower re-reads the upstream artifacts on each iteration and corrects course. By the time the leader finishes, the follower is already most of the way done.
Stage 1: Specs ████████████████████ (5 hours)
Stage 2: Plans ████████████████ (4 hours)
Stage 3: Implement ████████ (3 hours)
─────────────────────────────────────────────
Total: 12 hoursStage 1: Specs ████████████████████ (5 hours)
Stage 2: Plans ████████████████ (4 hours, started 1.5h after Stage 1)
Stage 3: Implement ████████████ (3 hours, started 3h after Stage 1)
─────────────────────────────────────────────
Total: ~7 hoursThe key mechanism is convergence -- the iterative loop that re-reads inputs each pass. Without convergence loops, speculative-pipeline would produce garbage. With them, early errors wash out over iterations.
context/
├── specs/ # Stage 1 output: implementation-agnostic specs
├── plans/ # Stage 2 output: framework-specific plans
├── impl/ # Stage 3 output: implementation tracking
└── prompts/
├── 001-generate-specs.md # Stage 1 prompt
├── 002-generate-plans.md # Stage 2 prompt
└── 003-implement.md # Stage 3 promptOpen three terminal windows (or use tmux panes):
# Terminal 1: Specs from reference materials (leader -- starts immediately)
{LOOP_TOOL} context/prompts/001-generate-specs.md -n 5 -t 2h
# Terminal 2: Plans from specs (follower -- starts after 1-hour delay)
{LOOP_TOOL} context/prompts/002-generate-plans.md -n 5 -t 2h -d 1h
# Terminal 3: Implementation from plans (follower -- starts after 2-hour delay)
{LOOP_TOOL} context/prompts/003-implement.md -n 10 -t 1h -d 2hParameter reference:
-n 5 -- Run up to 5 convergence iterations-t 2h -- Time budget per iteration (max total time = iterations x budget)-d 1h -- Delay before starting (speculative-pipeline offset)Replace {LOOP_TOOL} with your convergence loop runner (any script or tool that repeatedly
executes a prompt against the codebase, committing between iterations).
| Time | Stage 1 (Specs) | Stage 2 (Plans) | Stage 3 (Implement) |
|---|---|---|---|
| 0:00 | Starts. Reads refs, begins generating specs. | Waiting (1.5h delay). | Waiting (3h delay). |
| 1:30 | Iteration 1 complete. ~50% of specs written. Committed. | Starts. Reads partial specs, begins generating plans. | Waiting. |
| 3:00 | Iteration 2. Specs ~80% complete. | Iteration 1 complete. Plans based on partial specs. Some plans will need correction. | Starts. Reads partial specs + plans, begins implementing. |
| 4:00 | Iteration 3. Specs ~92% complete, converging. | Iteration 2. Re-reads updated specs. Corrects plans. Plans ~65% correct. | Iteration 1 complete. Some implementation based on incomplete plans. |
| 5:00 | Converged. Specs complete. Done. | Iteration 3. Re-reads final specs. Plans ~88% correct. | Iteration 2. Re-reads corrected plans. Fixes implementation. |
| 5:30 | -- | Iteration 4. Plans converged. Done. | Iteration 3. Implementation ~75% correct. |
| 7:00 | -- | -- | Iteration 4-5. Implementation converges. Done. |
Result: ~7 hours total versus ~12 hours sequential.
The delay determines how much upstream work exists when the follower starts. Too short and the follower wastes iterations on garbage input. Too long and you lose the time savings.
| Upstream Stage Duration | Recommended Delay | Rationale |
|---|---|---|
| 1-2 hours | 15-30 minutes | Short stages produce useful partial output quickly |
| 2-4 hours | 1 hour | Enough time for the first iteration to complete and commit |
| 4+ hours | 1-2 hours | First iteration should have substantial output |
For pipelines with more than 3 stages, stagger each stage relative to Stage 1:
# 5-stage pipeline example
{LOOP_TOOL} {PROMPT_001} -n 5 -t 2h # Stage 1: starts immediately
{LOOP_TOOL} {PROMPT_002} -n 5 -t 2h -d 1h # Stage 2: 1h delay
{LOOP_TOOL} {PROMPT_003} -n 8 -t 1h -d 2h # Stage 3: 2h delay
{LOOP_TOOL} {PROMPT_004} -n 8 -t 1h -d 3h # Stage 4: 3h delay
{LOOP_TOOL} {PROMPT_005} -n 10 -t 45m -d 4h # Stage 5: 4h delayNotice the pattern:
A speculative-pipeline pipeline has converged when:
Thrashing = the follower keeps making large changes because upstream output keeps changing.
Signs of thrashing:
Fix thrashing by:
In multi-agent setups, speculative-pipeline applies at the pipeline level, not the agent team level:
Pipeline Level (speculative-pipeline timing):
Stage 1 (Specs) → Single agent or agent team
Stage 2 (Plans) → Single agent or agent team (starts after delay)
Stage 3 (Implement) → Agent team dispatched via Agent tool (starts after delay)Each stage can internally use agent teams (multiple teammates working in parallel on different domains), but the stages themselves are staggered using speculative-pipeline timing.
Do not confuse:
They are orthogonal and composable.
When setting up a speculative-pipeline pipeline:
© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/JuliusBrussee/blueprint/skills/speculative-pipeline of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 3e1456a
Speculative 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 |
|---|---|---|---|---|---|---|
| Speculative Pipeline this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Speculative Namingsgl-project/sglang | 37k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Classroom Stage Design MethodTHU-MAIC/OpenMAIC | 40k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Stage Tamagotchi Godot Csharpmoeru-ai/airi | 50k | — | ~677 | Automated safety check: Pass | MIT | |
| OpenMAIC Stage Document MapTHU-MAIC/OpenMAIC | 40k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Speculation Rulesthedaviddias/Front-End-Checklist | 74k | — | ~509 | Automated safety check: Pass | MIT |
sgl-project/sglang
Naming conventions for SGLang speculative decoding identifiers.
THU-MAIC/OpenMAIC
Baseline procedure for building one new classroom stage: settle the page plan with you, create the stage, write the roster, then generate each page in order.
moeru-ai/airi
Apply the Stage Tamagotchi Godot C development method and code style when working in apps/stage-tamagotchi-kirie or its migration predecessor, engines/stage-tamagotchi-godot.
THU-MAIC/OpenMAIC
Maps the structure of an OpenMAIC stage document so an agent can find the right path, read it and patch quizzes, widgets, actions and project pages without guessing.
thedaviddias/Front-End-Checklist
A skill your agent uses when optimising multi-page navigation performance, reducing INP on page transitions, or implementing progressive enhancement for fast page loads.
github/awesome-copilot
Create optimized multi-stage Dockerfiles for any language or framework
hashgraph-online/awesome-codex-plugins
Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.
hashgraph-online/awesome-codex-plugins
Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).
hashgraph-online/awesome-codex-plugins
A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…
hashgraph-online/awesome-codex-plugins
Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…
hashgraph-online/awesome-codex-plugins
Use CALL-E from Codex through the calle CLI. An agent skill from hashgraph-online/awesome-codex-plugins.
hashgraph-online/awesome-codex-plugins
Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.
A pipeline execution strategy where downstream stages start before upstream stages finish, using staggered timing with configurable delays. Speculative Pipeline is an agent skill from hashgraph-online/awesome-codex-plugins. A pipeline execution strategy where downstream stages start before upstream stages finish, using staggered timing with configurable delays.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill speculative-pipeline -a claude-code`. Or copy the skill folder (plugins/JuliusBrussee/blueprint/skills/speculative-pipeline in hashgraph-online/awesome-codex-plugins) into .claude/skills/speculative-pipeline in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill speculative-pipeline -a codex`. Or copy the skill folder (plugins/JuliusBrussee/blueprint/skills/speculative-pipeline in hashgraph-online/awesome-codex-plugins) into .agents/skills/speculative-pipeline in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill speculative-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/speculative-pipeline, .gemini/skills/speculative-pipeline, .github/skills/speculative-pipeline and .opencode/skills/speculative-pipeline in your project.
SKILL.md names no scripts, command-line tools or credentials: Speculative Pipeline is instructions for the agent only.
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.
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.
Speculative Pipeline is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Speculative Pipeline: Speculative Naming (sgl-project/sglang, 37k stars), Classroom Stage Design Method (THU-MAIC/OpenMAIC, 40k stars), Stage Tamagotchi Godot Csharp (moeru-ai/airi, 50k stars) and OpenMAIC Stage Document Map (THU-MAIC/OpenMAIC, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.